openrouter-runner
openai-cookbook
| openrouter-runner | openai-cookbook | |
|---|---|---|
| 12 | 216 | |
| 375 | 56,644 | |
| 28.0% | 2.2% | |
| 9.5 | 9.5 | |
| 24 days ago | 6 days ago | |
| Python | MDX | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
openrouter-runner
- Openrouter
- Integra múltiples APIs de IA en una sola plataforma
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Collection of notebooks showcasing some fun and effective ways of using Claude
Why not use something like http://openrouter.ai? Pay as you go and you can select any model you want. Heaven!
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World_SIM: LLM prompted to act as a sentient CLI universe simulator
teknium / Nous released Mistral finetunes (Hermes) that are quite great, and even published the datasets used for training.
But for the worldsim I think they are really using Claude (probably Haiku or Sonnet) via openrouter (https://openrouter.ai/).
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Show HN: Plandex – an AI coding engine for complex tasks
Not affiliated with the project but you could use something like OpenRouter to give users a massive list of models to choose from with fairly minimal effort
https://openrouter.ai/
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The Next Generation of Claude (Claude 3)
> I hate that they require a phone number
https://openrouter.ai/ lets you make one account and get API access to a bunch of different models. They also provide access to hosted versions of a bunch of open models.
Useful if you want to compare 15 different models without bothering to create 15 different accounts or download 15 x 20GB of models :)
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The killer app of Gemini Pro 1.5 is video
You sure can! NeuroEngine[1] hosts some nice free demos of what are basically the state of the art in unfiltered models, and if you need API access, OpenRouter[2] has dozens of unfiltered models to choose from.
[1] https://www.neuroengine.ai/
[2] https://openrouter.ai/
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OpenAI has Text to Speech Support now!
However, this needs to be changed as other providers like OpenRouter can also start supporting this feature in the future.
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How to narrow down interest and where to begin?
Great resources for me are - The LangChain Blog: Very technical but great graphics of complex topics. Gives you a good understanding of what is currently possible and what the hot topics are - Product Hunt: Great resource to see what others are building with AI - Replicate and OpenRouter for custom made / fine tuned models - AI Twitter
- Show HN: Ranking LLMs by Usage over Time
openai-cookbook
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Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
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Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
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How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
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Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
llm - Access large language models from the command-line
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
llm-claude-3 - LLM plugin for interacting with the Claude 3 family of models
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
plandex - AI driven development in your terminal. Designed for large, real-world tasks.
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
askai - Command Line Interface for OpenAi ChatGPT
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
knowledge_gpt - Accurate answers and instant citations for your documents.
yt-semantic-search - OpenAI-powered semantic search for any YouTube playlist – featuring the All-In Podcast. 💪
OpenCharacters - Simple little web interface for creating characters and chatting with them. It's basically a single HTML file - no server. Share characters using a link (character data is stored within the URL itself). All chat data is stored in your browser using IndexedDB. Currently supports OpenAI APIs and ~any Hugging Face model.