What is an LLM?

An LLM is a model trained on massive amounts of text that learns how words relate to each other. This lesson covers how text becomes tokens, how the model generates a response one token at a time, and why the transformer architecture is what makes modern LLMs so effective. 🖊️ Learning objectives: - What tokens are and why models use them - How auto-regressive next-token prediction works - What the transformer brings to the picture Every token requires a full pass of calculations across billions of parameters. Multiply that by thousands of users sending requests at once and you start to see why inference speed becomes a hard engineering problem. For more resources, you may check out our blog here, where you will find information on: - What is AI inference? Meaning, benefits and how it works - Inference speed or throughput? With RDUs, you don't have to choose #AI #LLM #Tokens #Transformers #SambaNova