an agent in every cup
collecting bits & bobs about building alliances with other intelligences
an agent in every cup
An agent can be thought of as a logical wrapper around an LLM, allowing us to add several features to our AI systems, primarily:
- Tool usage, such as calling APIs for info, executing code,
- Internal thoughts over multiple generation steps
- Ability to use various tools and reasoning steps to answer more complex queries.
- Parallel agents can go and complete
James Briggs • LLMs Are Not All You Need | Pinecone
Stevens: a hackable AI assistant using a single SQLite table and a handful of cron jobs
geoffreylitt.com
GitHub - tobi/qmd: mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local
github.com
for on device RAG