Productionizing LLMs
Developers are rapidly building applications on LLM stacks, with chatbots for knowledge synthesis and data extraction leading the way in production. While the initial hype around advanced agent capabilities has waned, there's potential for growth as companies refine their approaches and integrate more complex functionalities. Users are beginning to envision chat interfaces that extend beyond conversation, hinting at exciting future developments.In this clip
From this podcast
Unsupervised Learning
Trends in LLM Applications that Every AI Engineer Should Know
Related Questions
What kind of products or apps will you see that combine large language models (LLMs) for software engineering, as discussed in the episode #6: Glide, codeless software development with AI and the clip Future of Software?
How are generative AI use cases evolving for code and developer productivity in the episode 'Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - 701' and the clip 'Prototyping with AI'?