LLMs

Document search and synthesis

Scores of organizations want to harness generative AI so employees can easily find the most relevant documents through improved search results and summaries. For example, your organization can reduce the time it takes employees to find answers to common HR- and process-related questions. Internal manuals and sites are... See more

Donna Schut • The Prompt: Takeaways from hundreds of conversations about generative AI - part 1 | Google Cloud Blog

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joaomdmoura • GitHub - joaomdmoura/crewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Self-play is the idea that an agent can improve its gameplay by playing against slightly different versions of itself because it’ll progressively encounter more challenging situations. In the space of LLMs, it is almost certain that the largest portion of self-play will look like AI Feedback rather than competitive processes.

Nathan Lambert • The Q* hypothesis: Tree-of-thoughts reasoning, process reward models, and supercharging synthetic data

When we deliver a model we make sure we don't reach X seconds of latency in our API. Before even going into performance of LLMs for classification, I can tell you that with the current available tech they are just infeasible.

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LinuxSpinach

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5h ago

^ this. And especially classification as a task, because businesses don’t want to pay llm... See more

r/MachineLearning - Reddit

We're doing NER on hundreds of millions of documents in a specialised niche. LLMs are terrible for this. Slow, expensive and horrifyingly inaccurate. Even with agents, pydantic parsing and the like. Supervised methods are the way to go. Hell, I'd take an old school rule based approach over LLMs for this.

Notion – The all-in-one workspace for your notes, tasks, wikis, and databases.

“I think a lot of people obviously want to talk about the sexy kind of new consumer applications. I would tell you that I think that the earliest and most significant effect that AI is going to have on our company is actually going to be as it relates to our developer productivity. Some of the tools that we’re seeing are going to allow our devs to... See more

Adam Huda • The Transformative Power of Generative AI in Software Development: Lessons from Uber's Tech-Wide Hackathon

OpenAI is treating its new marketplace seriously now: The brand new GPT store will come with REVENUE SHARING.... (missing in the Plugins launch)

and launching a Stateful Assistants API:

- Persistent Threads (/api/openai/threads)

- Built in Retrieval (chunking etc done for you)

- Code Interpreter (RIP Adv Data Analysis?)

- Speech to Text and Text to... See more

swyx • Tweet

So right now, LLMs (Large Language Models) are all the rage. But in the future, it’s possible that the way we get things done is composing things with a combination of LLMs, SMMs (Small, Mighty Models), agents and tools.

It’s what I call Cognitive Composition (because it sounds cool and I have a longtime love affair with alliteration).

This is how we... See more

Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]

Jail-Breaked & Offline Appliances: It’s becoming increasingly clear that we’ll be able to interact with everyday appliances and devices with natural language. As locally run LLMs become more efficient and powerful, the prospects of having a conversation with your coffee machine in the morning aren’t unreasonable. After all, who wants to tinker with... See more