Discover AI and tech community posts from GeekNews, Hacker News, Dev.to, Lobste.rs, METR, and TensorFlow Forum. Curated posts are updated daily.
Last updated: Feb 25, 12:36 AM
Top 3 articles selected from keyword overlap with the latest 10 community posts.
For a different perspective on AI companions, see our Q&A with Jaime Banks: How Do You Define an AI Companion? Novel technology is often a double-edged sword. New capabilities come with new risks, and…
For a different perspective on AI companions, see our Q&A with Brad Knox: How Can AI Companions Be Helpful, not Harmful? AI models intended to provide companionship for humans are on the rise. People…
I have presented LispE a few times in this forum. LispE is an Open Source version of Lisp, which offers a wide range of features, which are seldom found in other Lisps. I have always wanted to push LispE beyond a simple niche language, so I have implemented 4 new libraries: lispe_tiktoken (Openai to
Enforcing the structure of LLM outputs through JSON Schema constraints, without retry loops. This might be interesting if you're into constraint satisfaction, compilers, parsers, or improving the success rate of AI outputs via structured generation (also called constrained decoding).
AWS just shipped an experimental library through strands-labs, AI Functions, which execute LLM-generated code at runtime and return native Python objects. They use automated post-conditions to verify outputs continuously. Unlike generate-and-verify approaches, the AI-generated code runs directly in
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