Chris Mayfield

Nemotron-4 340B is a huge release by NVIDIA! Why? The Nemotron-4 340B instruct model lets you generate high-quality data and then the reward model (also released) can filter out data on several attributes. It's often not enough just to have a good instruct model for generating high-quality synthetic data. You also need to filter that generated data on a set of requirements. It's common to use the same model to grade the outputs (LLM-as-Judge) but the reward model (Reward-Model-as-Judge), which is often not released, is ideal for this. Also, check out in the paper how Nemotron-4-340B compares with GPT-4-1106-preview when evaluated by humans on several tasks. Seems that GPT-4 is a lot better at rewrite and extraction but Nemotron-4-340B compared nicely on other tasks. Multi-turn chat has a high score! Something else that caught my attention is that the majority of preference data used for alignment are synthetic. The results show that Nemotron-4 340B is a strong model. Check out those MMLU, GSM8K, and Arena Hard numbers. GPT-4 is still ahead but the gap keeps closing. What's Meta's move now? Are we going to see a similar type of release? Could be a huge moment for the field and open LLMs. Nice release from NVIDIA. They even released a preference dataset (link in the replies). Well done to the team!