SWE-Bench authors reflect on the state of LLM agents at Neurips 2024
Why it matters
Jay Alammar examines SWE-Bench authors reflect on the state of LLM agents at Neurips 2024. The publisher describes it as: “The SWE-bench task measures AI agents on software engineering tasks at the level of a github issue. It was one of the most important tasks m…
Jay Alammar examines Building LLM Agents with Tool Use. The publisher describes it as: “Tool use is a method whichs allows developers to connect Cohere's Command models to external tools like search engines, APIs, databases, and other software tools. Just”. This is a creator-led account, not an ind…
What makes LLM tokenizers different from each other? GPT4 vs. FlanT5 Vs. Starcoder Vs. BERT and more
Why it matters
Jay Alammar examines What makes LLM tokenizers different from each other GPT4 vs. FlanT5 Vs. Starcoder Vs. BERT. The publisher describes it as: “Tokenizers are one of the key components of Large Language Models (LLMs). One of the b…
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