Researchers from UC Berkeley, ICSI, and LBNL have proposed a new approach, LLM2LLM, to enhance Large Language Model (LLM) performance in low-data regimes using synthetic data. Concurrently, the AI community is witnessing significant advancements in LLMs, with the introduction of models like InternLM2 and a new model from MosaicML. InternLM2, an open-source LLM, has shown to outperform its predecessors across six dimensions and 30 benchmarks, designed with a 200k context. Meanwhile, MosaicML has released a new open weight LLM that surpasses Grok-1, LLama2 70B, and Mixtral in general purposes and rivals the best open models in coding. This model is an Mixture of Experts (MoE) with 132B total parameters and 32B active, trained for 12T tokens over 3 months on 3k H100s. These developments indicate a rapid evolution in the field of LLMs, potentially paving the way for Artificial General Intelligence (AGI).
AI NEWS: A new open-source LLM that beats Grok, LLama-2, and Mixtral is here. Plus, more developments from Anthropic Claude 3, Amazon, MIT, Heygen, OpenAI, and Hume AI. Here's everything going on in AI right now:
[CL] InternLM2 Technical Report https://t.co/c3xVvTNSzV - The paper introduces InternLM2, an open-source Large Language Model (LLM) that outperforms predecessors in comprehensive evaluations across 6 dimensions and 30 benchmarks. - InternLM2 is designed with a 200k context… https://t.co/8zvPMF2nRc
MosaicML just released a new open weight LLM that beats Grok-1, LLama2 70B and Mixtral (general purpose) and rivals the best open models in coding. It's an MoE with 132B total parameters and 32B active 32k context length and trained for 12T tokens. The weights of the base model… https://t.co/a0JEzzv4M2
mosaic+dbrx new model seems impressive: open source, beats mixtral/grok-1/gemini 1.0 pro/gpt3.5. 36B active params, MOE with total of 132B params. Training on 3k H100s, took ~3 months. (super proud of the two papail alumni involved in this @KartikSreeni @shashank_r12 :D) https://t.co/RgWhw30v6m
InternLM2 The evolution of Large Language Models (LLMs) like ChatGPT and GPT-4 has sparked discussions on the advent of Artificial General Intelligence (AGI). However, replicating such advancements in open-source models has been challenging. This paper introduces InternLM2, https://t.co/LqWpUoC1su
I'm digging in deeper to the non-@OpenAI impacts of #AI LLMs. #Claude vs. #Gemini vs. #Llama -- it's on. So this research note by my colleagues @pnashawaty and @StevenDickens3 is right on point. 👇#AWS #TheFuturumGroup $AMZN @AnthropicAI https://t.co/RakBXJyXdH
LLM2LLM: UC Berkeley, ICSI and LBNL Researchers’ Innovative Approach to Boosting Large Language Model Performance in Low-Data Regimes with Synthetic Data Quick read: https://t.co/xWQ3CQ770c LLM2LLM is proposed by a research team at UC Berkeley, ICSI, and LBNL as a…