Blog with images
We use this example of creating a web search-based blog with illustrations to show how to
instantiate different types of agents from Langchain and LlamaIndex
give agents as tools to other agents
create tasks and link them using the >> operator
Let’s install external dependencies for the example.
[ ]:
%pip install duckduckgo-search
%pip install llama-index
# install lunary if you need logging
%pip install lunary==1.1.5
[1]:
from pathlib import Path
import os
import sys
from dotenv import load_dotenv
from langchain_community.tools import DuckDuckGoSearchRun
WORKING_DIR = Path(os.path.realpath("."))
try:
from motleycrew import MotleyCrew
except ImportError:
# if we are running this from source
motleycrew_location = os.path.realpath(WORKING_DIR / "..")
sys.path.append(motleycrew_location)
from motleycrew import MotleyCrew
from motleycrew.agents.langchain import ReActToolCallingMotleyAgent
from motleycrew.agents.llama_index import ReActLlamaIndexMotleyAgent
from motleycrew.tools import MotleyTool, RetryConfig
from motleycrew.tools.image.dall_e import DallEImageGeneratorTool
from motleycrew.common import configure_logging
from motleycrew.tasks import SimpleTask
configure_logging(verbose=True)
load_dotenv()
[1]:
True
First, we create a fairly conventional agent that has a search tool.
[2]:
search_tool = MotleyTool.from_supported_tool(
DuckDuckGoSearchRun(), retry_config=RetryConfig(max_retries=7) # for retrying rate limit errors
)
researcher = ReActLlamaIndexMotleyAgent(
name="Senior Research Analyst",
description="""You work at a leading tech think tank.
Your expertise lies in identifying emerging trends.
You have a knack for dissecting complex data and presenting actionable insights.
You uncover cutting-edge developments in AI and data science, doing web search if necessary""",
verbose=True,
tools=[search_tool],
)
Now the fun starts happening: we pass that agent to another agent as a tool. That’s how delegation works in motleycrew: you just pass agents as tools to other agents; the API is automatically converted under the hood.
[3]:
# You can give agents as tools to other agents
writer = ReActToolCallingMotleyAgent(
name="AI writer agent",
prompt_prefix="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
Identify key trends, breakthrough technologies, and potential industry impacts.
Your final answer MUST be a full analysis report""",
tools=[researcher],
verbose=True,
)
Let’s create a first task, writing a blog post, and give it to the writer agent. We’ll need to instantiate a crew first as a crew orchestrates the tasks.
[4]:
# You always need a crew to orchestrate the agents
crew = MotleyCrew()
blog_post_task = SimpleTask(
crew=crew,
name="produce blog post on AI advancements",
description="""Using the insights provided by a thorough web search, develop an engaging blog
post that highlights the most significant AI advancements.
Your post should be informative yet accessible, catering to a tech-savvy audience.
Make it sound cool, avoid complex words so it doesn't sound like AI.
Create a blog post of at least 4 paragraphs, in markdown format.""",
agent=writer,
)
2025-03-29 19:42:16,485 - motleycrew - INFO - No db_path provided, creating temporary directory for database
2025-03-29 19:42:16,486 - motleycrew - INFO - Using Kuzu graph store with path: /var/folders/fv/tyhll76x0fn6l7j_q2nhvyg00000gn/T/tmpdhj4gagj/kuzu_db
2025-03-29 19:42:16,514 - motleycrew - INFO - Node table TaskNode does not exist in the database, creating
2025-03-29 19:42:16,521 - motleycrew - INFO - Property name not present in table for label TaskNode, creating
2025-03-29 19:42:16,522 - motleycrew - INFO - Property done not present in table for label TaskNode, creating
2025-03-29 19:42:16,522 - motleycrew - INFO - Node table SimpleTaskUnit does not exist in the database, creating
2025-03-29 19:42:16,524 - motleycrew - INFO - Property status not present in table for label SimpleTaskUnit, creating
2025-03-29 19:42:16,524 - motleycrew - INFO - Property output not present in table for label SimpleTaskUnit, creating
2025-03-29 19:42:16,524 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[typing.Any], will use JSON string
2025-03-29 19:42:16,525 - motleycrew - INFO - Property name not present in table for label SimpleTaskUnit, creating
2025-03-29 19:42:16,525 - motleycrew - INFO - Property prompt not present in table for label SimpleTaskUnit, creating
2025-03-29 19:42:16,526 - motleycrew - INFO - Property additional_params not present in table for label SimpleTaskUnit, creating
2025-03-29 19:42:16,526 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[dict[str, typing.Any]], will use JSON string
2025-03-29 19:42:16,527 - motleycrew - INFO - Relation table SimpleTaskUnit_belongs from SimpleTaskUnit to TaskNode does not exist in the database, creating
2025-03-29 19:42:16,528 - motleycrew - INFO - Inserting new node with label TaskNode: name='produce blog post on AI advancements' done=False
2025-03-29 19:42:16,532 - motleycrew - INFO - Node created OK
2025-03-29 19:42:16,534 - motleycrew - INFO - Relation table task_is_upstream from TaskNode to TaskNode does not exist in the database, creating
Now let’s create a second task, to generate and insert into the blog some illustrations.
[5]:
# Illustrator
image_generator_tool = DallEImageGeneratorTool(os.path.realpath("./images"),
model="dall-e-3",
refine_prompt_with_llm=True,
size="1024x1024",
style="vivid")
illustrator = ReActLlamaIndexMotleyAgent(
name="Illustrator",
description="Create beautiful and insightful illustrations for a blog post",
tools=[image_generator_tool],
)
illustration_task = SimpleTask(
crew=crew,
name="create an illustration for the blog post",
description="""Create beautiful and insightful illustrations to accompany the blog post on AI advancements.
The blog post will be provided to you in markdown format.
Make sure to use the illustration tool provided to you, once per illustration, and embed the URL provided by
the tool into the blog post.
Create between 2 and 3 illustrations, neither more nor less
Only return the full text of the blog post with embedded URLs, no backticks, no other text.
Only use slashes as path separators, never backslashes""",
agent=illustrator,
)
2025-03-29 19:42:17,038 - motleycrew - INFO - Inserting new node with label TaskNode: name='create an illustration for the blog post' done=False
2025-03-29 19:42:17,040 - motleycrew - INFO - Node created OK
Now let’s connect the two tasks, and run them!
[6]:
# Make sure the illustration task runs only once the blog post task is complete, and gets its input
blog_post_task >> illustration_task
# Get your crew to work!
result = crew.run()
final_result = illustration_task.output
2025-03-29 19:42:17,722 - motleycrew - INFO - Creating relation task_is_upstream from TaskNode:0 to TaskNode:1
2025-03-29 19:42:17,729 - motleycrew - INFO - Relation created OK
2025-03-29 19:42:17,736 - motleycrew - INFO - Available tasks: [SimpleTask(name=produce blog post on AI advancements, done=False)]
2025-03-29 19:42:17,738 - motleycrew - INFO - Processing task: SimpleTask(name=produce blog post on AI advancements, done=False)
2025-03-29 19:42:17,740 - motleycrew - INFO - Got a matching unit for task SimpleTask(name=produce blog post on AI advancements, done=False)
2025-03-29 19:42:17,740 - motleycrew - INFO - Processing unit: TaskUnit(status=pending)
2025-03-29 19:42:17,741 - motleycrew - INFO - Assigned unit TaskUnit(status=pending) to agent ReActToolCallingMotleyAgent(name=AI writer agent), dispatching
2025-03-29 19:42:17,741 - motleycrew - INFO - Node TaskUnit(status=running) does not exist, creating
2025-03-29 19:42:17,742 - motleycrew - INFO - Inserting new node with label SimpleTaskUnit: TaskUnit(status=running)
2025-03-29 19:42:17,742 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[typing.Any], will use JSON string
2025-03-29 19:42:17,742 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[dict[str, typing.Any]], will use JSON string
2025-03-29 19:42:17,743 - motleycrew - INFO - Node created OK
2025-03-29 19:42:17,746 - motleycrew - INFO - Relation from TaskUnit(status=running) to name='produce blog post on AI advancements' done=False does not exist, creating
2025-03-29 19:42:17,748 - motleycrew - INFO - Creating relation SimpleTaskUnit_belongs from SimpleTaskUnit:0 to TaskNode:0
2025-03-29 19:42:17,750 - motleycrew - INFO - Relation created OK
2025-03-29 19:42:17,753 - motleycrew - INFO - Wrapping agent in RunnableWithMessageHistory
> Entering new AgentExecutor chain...
Invoking: `senior_research_analyst` with `{'input': 'Conduct a comprehensive analysis of the latest advancements in AI in 2024, identifying key trends, breakthrough technologies, and potential industry impacts.'}`
responded: Thought: To create an engaging blog post about the latest AI advancements in 2024, I need to gather comprehensive insights on the key trends, breakthrough technologies, and potential industry impacts. I will use the senior_research_analyst tool to conduct a thorough web search and analysis of the latest developments in AI for 2024.
Let's proceed with gathering this information.
> Running step 92da4344-a63d-423c-b66b-1d33630cce1d. Step input: Conduct a comprehensive analysis of the latest advancements in AI in 2024, identifying key trends, breakthrough technologies, and potential industry impacts.
Thought: The current language of the user is English. I need to use a tool to help me answer the question.
Action: duckduckgo_search
Action Input: {'query': 'latest advancements in AI 2024'}
/opt/homebrew/Cellar/python@3.11/3.11.11/Frameworks/Python.framework/Versions/3.11/lib/python3.11/asyncio/events.py:84: UserWarning: lxml is not installed. Using backend='api'.
self._context.run(self._callback, *self._args)
2025-03-29 19:42:24,208 - motleycrew - INFO - Retry 1 of 7 in tool duckduckgo_search: RatelimitException: https://duckduckgo.com 202 Ratelimit
2025-03-29 19:42:25,459 - motleycrew - INFO - Retry 2 of 7 in tool duckduckgo_search: RatelimitException: https://duckduckgo.com 202 Ratelimit
Observation: AI Magazine examines the top 10 AI trends of 2024 to understand the developments of this year and see what could be on the agenda for 2025 ... including datasets, code and model parameters. The transparency inherent in open source AI has led to significant advancements in various fields, from natural language processing to computer vision ... This article summarizes Google's AI advancements in 2024, highlighting their commitment to responsible development. ... In collaboration with Isomorphic Labs, we introduced AlphaFold 3, our latest model which predicts the structure and interactions of all of life's molecules. By accurately predicting the structure of proteins, DNA, RNA ... In August 2024, the EU's Artificial Intelligence Act came into force, marking a significant step by an international regulator to implement a framework and safeguards around AI. Rather than ... The battle for AI-generated video models is heating up, and they got shockingly impressive in 2024. Elon Musk's $10 billion effort to build the world's biggest AI training cluster Digital Trends 2024 has marked a pivotal year for artificial intelligence, with groundbreaking advancements shaping various sectors globally. From the EU finalizing its comprehensive AI Act to the launch of the first AI-native smartphone, these developments are set to redefine the AI landscape. Major events include AI's role in the U.S. elections, advances in AI-powered scientific research, and significant ...
> Running step c5d8e43e-564e-4533-81b9-1b9f2ee28168. Step input: None
Thought: I have gathered enough information from the search results to provide a comprehensive analysis of the latest advancements in AI in 2024.
Answer: In 2024, the field of artificial intelligence has seen several key advancements and trends that are shaping the industry. Here are some of the most notable developments:
1. **Open Source AI**: The transparency and accessibility of open source AI have led to significant advancements in fields like natural language processing and computer vision. This trend is expected to continue, fostering innovation and collaboration.
2. **AlphaFold 3**: Developed by Google in collaboration with Isomorphic Labs, AlphaFold 3 is a breakthrough model that predicts the structure and interactions of all of life's molecules, including proteins, DNA, and RNA. This advancement has significant implications for scientific research and biotechnology.
3. **AI Regulation**: The EU's Artificial Intelligence Act came into force in August 2024, marking a significant regulatory step. This framework aims to implement safeguards around AI, ensuring responsible development and deployment.
4. **AI-Generated Video Models**: The development of AI-generated video models has accelerated, with models becoming increasingly sophisticated and realistic. This has implications for entertainment, media, and content creation industries.
5. **AI Training Clusters**: Elon Musk's $10 billion investment in building the world's largest AI training cluster highlights the growing importance of computational power in AI development.
6. **AI in Elections**: AI played a significant role in the U.S. elections, showcasing its potential in political campaigns and voter engagement.
7. **AI-Powered Scientific Research**: AI continues to drive advancements in scientific research, enabling new discoveries and innovations across various disciplines.
8. **AI-Native Smartphones**: The launch of the first AI-native smartphone represents a new era in consumer technology, integrating AI capabilities directly into mobile devices.
These advancements indicate a pivotal year for AI, with significant impacts expected across industries such as healthcare, technology, entertainment, and governance. The focus on responsible AI development and regulation will likely shape the future trajectory of AI technologies.
In 2024, the field of artificial intelligence has seen several key advancements and trends that are shaping the industry. Here are some of the most notable developments:
1. **Open Source AI**: The transparency and accessibility of open source AI have led to significant advancements in fields like natural language processing and computer vision. This trend is expected to continue, fostering innovation and collaboration.
2. **AlphaFold 3**: Developed by Google in collaboration with Isomorphic Labs, AlphaFold 3 is a breakthrough model that predicts the structure and interactions of all of life's molecules, including proteins, DNA, and RNA. This advancement has significant implications for scientific research and biotechnology.
3. **AI Regulation**: The EU's Artificial Intelligence Act came into force in August 2024, marking a significant regulatory step. This framework aims to implement safeguards around AI, ensuring responsible development and deployment.
4. **AI-Generated Video Models**: The development of AI-generated video models has accelerated, with models becoming increasingly sophisticated and realistic. This has implications for entertainment, media, and content creation industries.
5. **AI Training Clusters**: Elon Musk's $10 billion investment in building the world's largest AI training cluster highlights the growing importance of computational power in AI development.
6. **AI in Elections**: AI played a significant role in the U.S. elections, showcasing its potential in political campaigns and voter engagement.
7. **AI-Powered Scientific Research**: AI continues to drive advancements in scientific research, enabling new discoveries and innovations across various disciplines.
8. **AI-Native Smartphones**: The launch of the first AI-native smartphone represents a new era in consumer technology, integrating AI capabilities directly into mobile devices.
These advancements indicate a pivotal year for AI, with significant impacts expected across industries such as healthcare, technology, entertainment, and governance. The focus on responsible AI development and regulation will likely shape the future trajectory of AI technologies.
2025-03-29 19:42:41,493 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[typing.Any], will use JSON string
2025-03-29 19:42:41,501 - motleycrew - INFO - Task unit TaskUnit(status=running) completed, marking as done
2025-03-29 19:42:41,510 - motleycrew - INFO - Available tasks: [SimpleTask(name=create an illustration for the blog post, done=False)]
2025-03-29 19:42:41,512 - motleycrew - INFO - Processing task: SimpleTask(name=create an illustration for the blog post, done=False)
2025-03-29 19:42:41,516 - motleycrew - INFO - Got a matching unit for task SimpleTask(name=create an illustration for the blog post, done=False)
2025-03-29 19:42:41,516 - motleycrew - INFO - Processing unit: TaskUnit(status=pending)
2025-03-29 19:42:41,517 - motleycrew - INFO - Assigned unit TaskUnit(status=pending) to agent ReActLlamaIndexMotleyAgent(name=Illustrator), dispatching
2025-03-29 19:42:41,517 - motleycrew - INFO - Node TaskUnit(status=running) does not exist, creating
2025-03-29 19:42:41,518 - motleycrew - INFO - Inserting new node with label SimpleTaskUnit: TaskUnit(status=running)
2025-03-29 19:42:41,518 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[typing.Any], will use JSON string
2025-03-29 19:42:41,518 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[dict[str, typing.Any]], will use JSON string
2025-03-29 19:42:41,520 - motleycrew - INFO - Node created OK
2025-03-29 19:42:41,523 - motleycrew - INFO - Relation from TaskUnit(status=running) to name='create an illustration for the blog post' done=False does not exist, creating
2025-03-29 19:42:41,526 - motleycrew - INFO - Creating relation SimpleTaskUnit_belongs from SimpleTaskUnit:1 to TaskNode:1
2025-03-29 19:42:41,527 - motleycrew - INFO - Relation created OK
Final Answer:
# The Coolest AI Advancements of 2024: A Tech-Savvy Dive
Welcome to the future, where artificial intelligence is not just a buzzword but a transformative force reshaping our world. In 2024, AI has taken some giant leaps forward, and we're here to break it down for you in the coolest way possible. Whether you're a tech enthusiast or just curious about the latest trends, this post will give you the lowdown on the most exciting AI advancements of the year.
First up, let's talk about **Open Source AI**. This movement is all about making AI accessible to everyone, and it's been a game-changer. By opening up AI models and tools to the public, we've seen incredible progress in areas like natural language processing and computer vision. It's like a global hackathon where the best minds come together to push the boundaries of what's possible. The result? Faster innovation and more collaboration than ever before.
Now, if you're into science and biotech, you'll want to hear about **AlphaFold 3**. This is Google's latest brainchild, developed with Isomorphic Labs, and it's revolutionizing how we understand life's building blocks. AlphaFold 3 can predict the structure and interactions of molecules like proteins, DNA, and RNA. Imagine the possibilities for drug discovery and genetic research! It's like having a superpower that lets scientists see the invisible.
But it's not all about breakthroughs and tech wizardry. 2024 also marks a significant year for **AI Regulation**. The EU's Artificial Intelligence Act is now in effect, setting the stage for responsible AI development. This framework ensures that as we race ahead with AI innovations, we do so with safeguards in place. It's a reminder that with great power comes great responsibility, and the tech world is taking note.
Finally, let's not forget the entertainment and media industries, which are being transformed by **AI-Generated Video Models**. These models are becoming so sophisticated that they can create hyper-realistic videos, opening up new possibilities for content creation. Whether it's movies, games, or virtual reality experiences, AI is making it all more immersive and engaging.
So there you have it, the coolest AI advancements of 2024. From open source innovation to groundbreaking scientific tools and responsible regulation, AI is shaping our future in ways we could only dream of. Stay tuned, because the AI revolution is just getting started!
> Finished chain.
2025-03-29 19:43:09,819 - motleycrew - INFO - Dall-E API output: https://oaidalleapiprodscus.blob.core.windows.net/private/org-hU0IITr1SZUdNZS000iLUXRd/user-Bebk2s4ESEzq0znajVmo0Xvo/img-yavXc9JTkVCyHJDkuYDjZZho.png?st=2025-03-29T11%3A43%3A09Z&se=2025-03-29T13%3A43%3A09Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2025-03-29T10%3A59%3A54Z&ske=2025-03-30T10%3A59%3A54Z&sks=b&skv=2024-08-04&sig=MAp7WNZAGxcJQMz9ffRsuKJFTbgSCBxyHoT5fhYh2/c%3D
2025-03-29 19:43:10,957 - motleycrew - INFO - Downloading image https://oaidalleapiprodscus.blob.core.windows.net/private/org-hU0IITr1SZUdNZS000iLUXRd/user-Bebk2s4ESEzq0znajVmo0Xvo/img-yavXc9JTkVCyHJDkuYDjZZho.png?st=2025-03-29T11%3A43%3A09Z&se=2025-03-29T13%3A43%3A09Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2025-03-29T10%3A59%3A54Z&ske=2025-03-30T10%3A59%3A54Z&sks=b&skv=2024-08-04&sig=MAp7WNZAGxcJQMz9ffRsuKJFTbgSCBxyHoT5fhYh2/c%3D to /Users/whimo/motleycrew/examples/images/f69dec98.png
2025-03-29 19:44:08,820 - motleycrew - INFO - Dall-E API output: https://oaidalleapiprodscus.blob.core.windows.net/private/org-hU0IITr1SZUdNZS000iLUXRd/user-Bebk2s4ESEzq0znajVmo0Xvo/img-e6P02ivoYpsxOZbw5gYCAchA.png?st=2025-03-29T11%3A44%3A08Z&se=2025-03-29T13%3A44%3A08Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2025-03-28T23%3A01%3A41Z&ske=2025-03-29T23%3A01%3A41Z&sks=b&skv=2024-08-04&sig=UPfS334hVOI46RBrc8t0h41Zc69o6Wm7dnvPZnKFr/M%3D
2025-03-29 19:44:09,741 - motleycrew - INFO - Downloading image https://oaidalleapiprodscus.blob.core.windows.net/private/org-hU0IITr1SZUdNZS000iLUXRd/user-Bebk2s4ESEzq0znajVmo0Xvo/img-e6P02ivoYpsxOZbw5gYCAchA.png?st=2025-03-29T11%3A44%3A08Z&se=2025-03-29T13%3A44%3A08Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2025-03-28T23%3A01%3A41Z&ske=2025-03-29T23%3A01%3A41Z&sks=b&skv=2024-08-04&sig=UPfS334hVOI46RBrc8t0h41Zc69o6Wm7dnvPZnKFr/M%3D to /Users/whimo/motleycrew/examples/images/e825d7d1.png
2025-03-29 19:44:35,333 - motleycrew - INFO - Dall-E API output: https://oaidalleapiprodscus.blob.core.windows.net/private/org-hU0IITr1SZUdNZS000iLUXRd/user-Bebk2s4ESEzq0znajVmo0Xvo/img-QM4jb6wgnrDyoFgwqY2WVhHU.png?st=2025-03-29T11%3A44%3A35Z&se=2025-03-29T13%3A44%3A35Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2025-03-29T10%3A50%3A35Z&ske=2025-03-30T10%3A50%3A35Z&sks=b&skv=2024-08-04&sig=JxcNh4WNN9bAKEqalOszARMXsSvEDfnm/8iHdZZQn2g%3D
2025-03-29 19:44:36,247 - motleycrew - INFO - Downloading image https://oaidalleapiprodscus.blob.core.windows.net/private/org-hU0IITr1SZUdNZS000iLUXRd/user-Bebk2s4ESEzq0znajVmo0Xvo/img-QM4jb6wgnrDyoFgwqY2WVhHU.png?st=2025-03-29T11%3A44%3A35Z&se=2025-03-29T13%3A44%3A35Z&sp=r&sv=2024-08-04&sr=b&rscd=inline&rsct=image/png&skoid=d505667d-d6c1-4a0a-bac7-5c84a87759f8&sktid=a48cca56-e6da-484e-a814-9c849652bcb3&skt=2025-03-29T10%3A50%3A35Z&ske=2025-03-30T10%3A50%3A35Z&sks=b&skv=2024-08-04&sig=JxcNh4WNN9bAKEqalOszARMXsSvEDfnm/8iHdZZQn2g%3D to /Users/whimo/motleycrew/examples/images/568f7f1c.png
2025-03-29 19:44:43,156 - motleycrew - INFO - No known Cypher type matching annotation typing.Optional[typing.Any], will use JSON string
2025-03-29 19:44:43,161 - motleycrew - INFO - Task unit TaskUnit(status=running) completed, marking as done
2025-03-29 19:44:43,170 - motleycrew - INFO - Available tasks: []
2025-03-29 19:44:43,172 - motleycrew - INFO - Nothing left to do, exiting
Let’s display the result (swapping absolute for relative paths, as Jupyter seems to struggle with the former)
[7]:
from IPython.display import Markdown, display
here = os.path.realpath(".").replace(os.sep,"/")
display(Markdown(illustration_task.output.replace(here,".")))
The Coolest AI Advancements of 2024: A Tech-Savvy Dive
Welcome to the future, where artificial intelligence is not just a buzzword but a transformative force reshaping our world. In 2024, AI has taken some giant leaps forward, and we’re here to break it down for you in the coolest way possible. Whether you’re a tech enthusiast or just curious about the latest trends, this post will give you the lowdown on the most exciting AI advancements of the year.
First up, let’s talk about Open Source AI. This movement is all about making AI accessible to everyone, and it’s been a game-changer. By opening up AI models and tools to the public, we’ve seen incredible progress in areas like natural language processing and computer vision. It’s like a global hackathon where the best minds come together to push the boundaries of what’s possible. The result? Faster innovation and more collaboration than ever before.
Now, if you’re into science and biotech, you’ll want to hear about AlphaFold 3. This is Google’s latest brainchild, developed with Isomorphic Labs, and it’s revolutionizing how we understand life’s building blocks. AlphaFold 3 can predict the structure and interactions of molecules like proteins, DNA, and RNA. Imagine the possibilities for drug discovery and genetic research! It’s like having a superpower that lets scientists see the invisible.
But it’s not all about breakthroughs and tech wizardry. 2024 also marks a significant year for AI Regulation. The EU’s Artificial Intelligence Act is now in effect, setting the stage for responsible AI development. This framework ensures that as we race ahead with AI innovations, we do so with safeguards in place. It’s a reminder that with great power comes great responsibility, and the tech world is taking note.
Finally, let’s not forget the entertainment and media industries, which are being transformed by AI-Generated Video Models. These models are becoming so sophisticated that they can create hyper-realistic videos, opening up new possibilities for content creation. Whether it’s movies, games, or virtual reality experiences, AI is making it all more immersive and engaging.
So there you have it, the coolest AI advancements of 2024. From open source innovation to groundbreaking scientific tools and responsible regulation, AI is shaping our future in ways we could only dream of. Stay tuned, because the AI revolution is just getting started!
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