Large Language Models

4 Posts

Making LLMs Explainable: Google’s Gemma Scope probes how large language models think

Researchers have probed the inner workings of individual layers of large language models. A new tool applies this approach to all layers.

Large Language Models

Models Ranked for Hallucinations: Measuring language model hallucinations during information retrieval

How often do large language models make up information when they generate text based on a retrieved document? A study evaluated the tendency of popular models to hallucinate while performing retrieval-augmented generation (RAG).

Throughput and latency at different context lengths

Large Language Models

Long Context Gets Up to Speed: AI21 Labs’ Jamba 1.5 outpaces transformers in long-text processing

A new model generates tokens faster than current transformers, especially when processing long inputs.

The SWE-bench full leaderboard shows Cosine Genie outperforming its competitors.

Large Language Models

Agentic Coding Strides Forward: Genie coding assistant outperforms competitors on SWE-bench by over 30 percent

An agentic coding assistant boosted the state of the art in an important benchmark by more than 30 percent.

Large Language Models

Making LLMs Explainable: Google’s Gemma Scope probes how large language models think

Models Ranked for Hallucinations: Measuring language model hallucinations during information retrieval

Long Context Gets Up to Speed: AI21 Labs’ Jamba 1.5 outpaces transformers in long-text processing

Agentic Coding Strides Forward: Genie coding assistant outperforms competitors on SWE-bench by over 30 percent

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