Summary of Reddit Comments on "Free LLM API"

Gemini Pro

• Gemini Pro is free up to 60 queries per minute.
• Pros: Free up to 60 queries per minute.
• Cons: Limited to 60 queries per minute.

Together.ai

• Together.ai provides $25 that has been running for heavy usage.
• Pros: $25 credit that has been reliable after heavy usage.
• Cons: Limited amount of credit.

OpenAI

• OpenAI allows pay as you go with an API key.
• Pros: Pay as you go model, around $2 a month.
• Cons: Costs can vary depending on usage.

ArliAI.com

• ArliAI.com has a free tier with unlimited generations and variety of models.
• Pros: Free tier with unlimited generations and model variety.
• Cons: Limited information provided.

Local LLM Models

• Use own models locally with resources like r/localllama.
• Pros: Control over local models.
• Cons: Requires technical knowledge to set up.

Other Resources

• Shaleprotocol.com provides generous quota of free calls to the Llama-2-7b-chat-hf model.
• Fabric on GitHub by Daniel Miessler.
• Free-llm-api-resources list on GitHub for updated resources.

Model Comparisons and Hardware Requirements

• Different models like BabyAGI, AutoGPT, LangChain compared.
• Discussion on hardware requirements, including CPU vs GPU.
• Coral EdgeTPU use discussed for Local LLM Models.
• Importance of GPU support for running local models.

Concerns and Suggestions

• Licensing and availability of models queried.
• Requests for easier ways to run models with GPU support.
• Performance issues faced with new i9 processor and 32GB RAM.
• Concerns about rate of advancements in AI field.

Miscellaneous

• Discussion on various AI models like Claude 3.5 Sonnet and GPT4.
• Comments on data privacy and potential future impacts of AI.
• Suggestions for collating data, starting AI projects, and concerns about job relevance.
• Various AI tools, APIs, and companies discussed with pros and cons.
• Discussions on licensing, costs, and challenges in AI development.

This comprehensive summary covers a wide range of discussions on free LLM APIs, AI models, hardware requirements, concerns, and suggestions in the Reddit comments.