fka/awesome-chatgpt-prompts
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fka/awesome-chatgpt-prompts
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Weโre launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
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m-ric's
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4 days ago
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Today we make the biggest release in smolagents so far: ๐๐ฒ ๐ฒ๐ป๐ฎ๐ฏ๐น๐ฒ ๐๐ถ๐๐ถ๐ผ๐ป ๐บ๐ผ๐ฑ๐ฒ๐น๐, ๐๐ต๐ถ๐ฐ๐ต ๐ฎ๐น๐น๐ผ๐๐ ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ ๐ฝ๐ผ๐๐ฒ๐ฟ๐ณ๐๐น ๐๐ฒ๐ฏ ๐ฏ๐ฟ๐ผ๐๐๐ถ๐ป๐ด ๐ฎ๐ด๐ฒ๐ป๐๐! ๐ฅณ
Our agents can now casually open up a web browser, and navigate on it by scrolling, clicking elements on the webpage, going back, just like a user would.
The demo below shows Claude-3.5-Sonnet browsing GitHub for task: "Find how many commits the author of the current top trending repo did over last year."
Hi @mlabonne !
Go try it out, it's the most cracked agentic stuff I've seen in a while ๐คฏ (well, along with OpenAI's Operator who beat us by one day)
For more detail, read our announcement blog ๐ https://huggingface.co./blog/smolagents-can-see
The code for the web browser example is here ๐ https://github.com/huggingface/smolagents/blob/main/examples/vlm_web_browser.py
Our agents can now casually open up a web browser, and navigate on it by scrolling, clicking elements on the webpage, going back, just like a user would.
The demo below shows Claude-3.5-Sonnet browsing GitHub for task: "Find how many commits the author of the current top trending repo did over last year."
Hi @mlabonne !
Go try it out, it's the most cracked agentic stuff I've seen in a while ๐คฏ (well, along with OpenAI's Operator who beat us by one day)
For more detail, read our announcement blog ๐ https://huggingface.co./blog/smolagents-can-see
The code for the web browser example is here ๐ https://github.com/huggingface/smolagents/blob/main/examples/vlm_web_browser.py
- 3 replies
reacted to
burtenshaw's
post with ๐ง
10 days ago
Post
38672
Weโre launching a FREE and CERTIFIED course on Agents!
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
We're thrilled to announce the launch of the Hugging Face Agents course on Learn! This interactive, certified course will guide you through building and deploying your own AI agents.
Here's what you'll learn:
- Understanding Agents: We'll break down the fundamentals of AI agents, showing you how they use LLMs to perceive their environment (observations), reason about it (thoughts), and take actions. Think of a smart assistant that can book appointments, answer emails, or even write code based on your instructions.
- Building with Frameworks: You'll dive into popular agent frameworks like LangChain, LlamaIndex and smolagents. These tools provide the building blocks for creating complex agent behaviors.
- Real-World Applications: See how agents are used in practice, from automating SQL queries to generating code and summarizing complex documents.
- Certification: Earn a certification by completing the course modules, implementing a use case, and passing a benchmark assessment. This proves your skills in building and deploying AI agents.
Audience
This course is designed for anyone interested in the future of AI. Whether you're a developer, data scientist, or simply curious about AI, this course will equip you with the knowledge and skills to build your own intelligent agents.
Enroll today and start building the next generation of AI agent applications!
https://bit.ly/hf-learn-agents
- 23 replies
Thanks pardner.
reacted to
chansung's
post with ๐
2 months ago
Post
1947
๐๏ธ Listen to the audio "Podcast" of every single Hugging Face Daily Papers.
Now, "AI Paper Reviewer" project can automatically generates audio podcasts on any papers published on arXiv, and this is integrated into the GitHub Action pipeline. I sounds pretty similar to hashtag#NotebookLM in my opinion.
๐๏ธ Try out yourself at https://deep-diver.github.io/ai-paper-reviewer/
This audio podcast is powered by Google technologies: 1) Google DeepMind Gemini 1.5 Flash model to generate scripts of a podcast, then 2) Google Cloud Vertex AI's Text to Speech model to synthesize the voice turning the scripts into the natural sounding voices (with latest addition of "Journey" voice style)
"AI Paper Reviewer" is also an open source project. Anyone can use it to build and own a personal blog on any papers of your interests. Hence, checkout the project repository below if you are interested in!
: https://github.com/deep-diver/paper-reviewer
This project is going to support other models including open weights soon for both text-based content generation and voice synthesis for the podcast. The only reason I chose Gemini model is that it offers a "free-tier" which is enough to shape up this projects with non-realtime batch generations. I'm excited to see how others will use this tool to explore the world of AI research, hence feel free to share your feedback and suggestions!
Now, "AI Paper Reviewer" project can automatically generates audio podcasts on any papers published on arXiv, and this is integrated into the GitHub Action pipeline. I sounds pretty similar to hashtag#NotebookLM in my opinion.
๐๏ธ Try out yourself at https://deep-diver.github.io/ai-paper-reviewer/
This audio podcast is powered by Google technologies: 1) Google DeepMind Gemini 1.5 Flash model to generate scripts of a podcast, then 2) Google Cloud Vertex AI's Text to Speech model to synthesize the voice turning the scripts into the natural sounding voices (with latest addition of "Journey" voice style)
"AI Paper Reviewer" is also an open source project. Anyone can use it to build and own a personal blog on any papers of your interests. Hence, checkout the project repository below if you are interested in!
: https://github.com/deep-diver/paper-reviewer
This project is going to support other models including open weights soon for both text-based content generation and voice synthesis for the podcast. The only reason I chose Gemini model is that it offers a "free-tier" which is enough to shape up this projects with non-realtime batch generations. I'm excited to see how others will use this tool to explore the world of AI research, hence feel free to share your feedback and suggestions!
-
- 3 replies
liked
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Space
4 months ago
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nicolay-r's
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4 months ago
Post
1008
๐ข Two weeks ago I got a chance to share the most recent reasoning ๐ง capabilities of Large Language models in Sentiment Analysis NLPSummit-2024.
For those who missed and still wish to find out the advances of GenAI in that field, the recording is now available:
https://www.youtube.com/watch?v=qawLJsRHzB4
You will be aware of:
โ๏ธ how well LLMs reasoning can be used for reasoning in sentiment analysis as in Zero-shot-Learning,
โ๏ธ how to improve reasoning by applying and leaving step-by-step chains (Chain-of-Thought)
โ๏ธ how to prepare the most advanced model in sentiment analysis using Chain-of-Thought.
Links:
๐ Paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)
โญ Code: https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
For those who missed and still wish to find out the advances of GenAI in that field, the recording is now available:
https://www.youtube.com/watch?v=qawLJsRHzB4
You will be aware of:
โ๏ธ how well LLMs reasoning can be used for reasoning in sentiment analysis as in Zero-shot-Learning,
โ๏ธ how to improve reasoning by applying and leaving step-by-step chains (Chain-of-Thought)
โ๏ธ how to prepare the most advanced model in sentiment analysis using Chain-of-Thought.
Links:
๐ Paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)
โญ Code: https://github.com/nicolay-r/Reasoning-for-Sentiment-Analysis-Framework
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reach-vb's
post with ๐
4 months ago
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NEW: Open Source Text/ Image to video model is out - MIT licensed - Rivals Gen-3, Pika & Kling ๐ฅ
> Pyramid Flow: Training-efficient Autoregressive Video Generation method
> Utilizes Flow Matching
> Trains on open-source datasets
> Generates high-quality 10-second videos
> Video resolution: 768p
> Frame rate: 24 FPS
> Supports image-to-video generation
> Model checkpoints available on the hub ๐ค: rain1011/pyramid-flow-sd3
> Pyramid Flow: Training-efficient Autoregressive Video Generation method
> Utilizes Flow Matching
> Trains on open-source datasets
> Generates high-quality 10-second videos
> Video resolution: 768p
> Frame rate: 24 FPS
> Supports image-to-video generation
> Model checkpoints available on the hub ๐ค: rain1011/pyramid-flow-sd3
liked
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4 months ago
liked
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9 months ago
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9 months ago
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Introducing OpenGPT-4o
KingNish/OpenGPT-4o
Features:
1๏ธโฃ Inputs possible are Text โ๏ธ, Text + Image ๐๐ผ๏ธ, Audio ๐ง, WebCam๐ธ
and outputs possible are Image ๐ผ๏ธ, Image + Text ๐ผ๏ธ๐, Text ๐, Audio ๐ง
2๏ธโฃ Flat 100% FREE ๐ธ and Super-fast โก.
3๏ธโฃ Publicly Available before GPT 4o.
Future Features:
1๏ธโฃ Chat with PDF (Both voice and text)
2๏ธโฃ Video generation.
3๏ธโฃ Sequential Image Generation.
4๏ธโฃ Better UI and customization.
Note: It's not possible to reach level of complexity of GPT 4o because OpenAI has been developing GPT-4o from six months with a team of over 450+ experienced members, Whereas I am only One. Moreover, they haven't released it fully publicly, So, it remains a test model.
KingNish/OpenGPT-4o
Features:
1๏ธโฃ Inputs possible are Text โ๏ธ, Text + Image ๐๐ผ๏ธ, Audio ๐ง, WebCam๐ธ
and outputs possible are Image ๐ผ๏ธ, Image + Text ๐ผ๏ธ๐, Text ๐, Audio ๐ง
2๏ธโฃ Flat 100% FREE ๐ธ and Super-fast โก.
3๏ธโฃ Publicly Available before GPT 4o.
Future Features:
1๏ธโฃ Chat with PDF (Both voice and text)
2๏ธโฃ Video generation.
3๏ธโฃ Sequential Image Generation.
4๏ธโฃ Better UI and customization.
Note: It's not possible to reach level of complexity of GPT 4o because OpenAI has been developing GPT-4o from six months with a team of over 450+ experienced members, Whereas I am only One. Moreover, they haven't released it fully publicly, So, it remains a test model.
- 32 replies