AI

GitHub - urchade/GLiNER: Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Thumbnail of GitHub - urchade/GLiNER: Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024

Artificial intelligence! - can it be intuitive, can it mimic human behaviour? I got to experience it real time with Aura - an interactive robot at the @spherevegas Must say, I was very impressed… a glimpse of things to come!! #artificialintelligence #robots #spherevegas #usa #lasvegas

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I finally understand how GPT generates text. Really helps to code it from scratch in Python. There are 5 components: • token embeddings • positional embeddings • transformer blocks • layer normalization • output... See more

virat

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AI + Blockchain research. How gpt works from scratch

Creating test suites - bench documentation

Best way to manage ai experiments. Very generic and extendible. Should make something similar.

reddit.com

Self hosting

LLM OS - Phidata

docs.phidata.com

Full LLM stack with fastapi server. Their ui for tools and agents is pretty good.

Domain specific LLM fine tuning always confused me. After several iterations I along with @MojoAnalytics published our first blog on best practices and insights on fine tuning LLMs using @huggingface and managing experiments using @weights_biases 👉 #LLM https://t.co/jSEodhi7Jg

Anindya x.com

AI experiment management

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