Prompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without updating the model weights. It is an empirical science and the effect of prompt engineering met…
Stripe leverages GPT-4 to streamline user experience and combat fraud.
Khan Academy explores the potential for GPT-4 in a limited pilot program.
Operationalizing Generative AI at scale depends on reducing model training, selection, and deployment costs, while ensuring AI fairness. Introducing LLMops.
Implementing HNSW + Product Quantization (PQ) vector compression in Weaviate.
We’ve raised $350M in new funding as part of our Series B led by General Catalyst and co-led by Spark Capital, with additional participation from existing investors, new financial partners, and some of the most iconic companies in tech.