Patterns for Building LLM-based Systems & Products
Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
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Evals, RAG, fine-tuning, caching, guardrails, defensive UX, and collecting user feedback.
Llama 2 is a commercially-available open-source model from Meta that builds on LLaMA, the “academic-use only” model that was, in reality, generally available to anyone who could click a download link. At a high level, many are familiar with strategic open-source from big technology companies — products like Android, Chrome, and Visual Studio Code. But why exactly would Meta make the weights of the Llama 2 commercially available? A more in-depth analysis. The framework in A Short Taxonomy of Op
On June 18th, Meta launched the second version of the most popular large language model (LLM), Llama.