Me finetuning llama3 70b on google colab
LLMS
-
Growing Availability of Open-Source AI Models Benefits Industry
By
–
+1 the more open-models available at this level, the better
-

RAG vs Large Context Windows: Enterprise AI Strategy
By
–
As AI evolves, the choice isn't just between supermassive context windows and retrieval-augmented generation (RAG)—it's about leveraging RAG for enterprise success. Despite the perks of larger context windows, they bring increased costs and latency. RAG, however, remains
-
Small benchmark of 90 questions requiring only Search and Calculator
By
–
Note: this is only a small benchmark of 90 questions: 40 from gsm8k, 30 from HotpotQA, 20 from GAIA (cherrypicked to require only Search tool and Calculator).
So results may vary! -
Structured Data Extraction from Images Using Claude 3 Opus
By
–
Beautiful example here of structured data extraction from an image using Claude 3 Opus – most of the LLM implementation is handled by this tools schema: https://
github.com/timpaul/form-e
xtractor-prototype/blob/main/data/extract-form-questions.json
… -

Choosing the Right LLM: Interoperability and Flexibility
By
–
LLMs, embedding models, vector databases, oh my! With so many options, how do you choose the best LLM for your use case? As LLMs and tooling continue to evolve, interoperability and flexibility are critical to leverage the latest advancements in the field and ensure high


