LLMs
One interesting thing about LLMs is that they can actually recover (and without error loops). You can have a step that doesn't work right, and a later step can use its common-sense knowledge to ignore some of the missing results, conflicting information, etc. One of the problems with developing with LLMs is that the machine will often cover up... See more
Ask HN: What are some actual use cases of AI Agents right now? | Hacker News
Matei Zaharia, Omar Khattab, Lingjiao Chen, et al. • The Shift From Models to Compound AI Systems
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
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
What’s the best way for an end user to organize and explore millions of latent space features?
I’ve found tens of thousands of interpretable features in my experiments, and frontier labs have demonstrated results with a thousand times more features in production-scale models. No doubt, as interpretability techniques advance, we’ll see feature maps... See more
I’ve found tens of thousands of interpretable features in my experiments, and frontier labs have demonstrated results with a thousand times more features in production-scale models. No doubt, as interpretability techniques advance, we’ll see feature maps... See more
Shortwave — rajhesh.panchanadhan@gmail.com [Gmail alternative]
First time here? Go to our setup guide
Features
Features
- 🤖 Multiple model integrations: OpenAI, transformers, llama.cpp, exllama2, mamba
- 🖍️ Simple and powerful prompting primitives based on the Jinja templating engine
- 🚄 Multiple choices, type constraints and dynamic stopping
- ⚡ Fast regex-structured generation
- 🔥 Fast JSON generation following a JSON schema
outlines-dev • GitHub - outlines-dev/outlines: Neuro Symbolic Text Generation
Why is Discord such a good GTM for AI applications?
Text interface. Most users are just generating images, videos, and audio in these Discord servers. Prompts are easily expressible in simple text commands. It’s why we’ve seen image generation strategies like Midjourney (all-in-one) flourish in Discord while more raw diffusion models haven’t grown... See more
Text interface. Most users are just generating images, videos, and audio in these Discord servers. Prompts are easily expressible in simple text commands. It’s why we’ve seen image generation strategies like Midjourney (all-in-one) flourish in Discord while more raw diffusion models haven’t grown... See more
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