The Full Stack
@full_stack_dl
News, community, and courses for people building AI-powered products.
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🥞🦜 Full Stack LLM Bootcamp 🦜🥞 tl;dr We're releasing our lectures on building LLM-powered apps, for FREE. 🚀 Launch an LLM App in One Hour ✨ Prompt Engineering 🗿 LLM Foundations 🔨 Augmented LLMs 🤷 UX for LUIs 🏎️ LLMOps 🔮 What's Next? 👷 Project Walkthrough Learn more:
Would you be interested in a course or workshop on ✨Building Software with AI Agents✨???
66 vote · Final results
Is Claude Code still the best coding agent on the market? You can now easily find out by launching Claude, Codex, Gemini, and Amp on every ticket in your codebase:
Several agents plus three simple baselines were tested on HumanEval. Agents were mostly worse and always more expensive than the baselines. The good: · Evaluating the Pareto frontier · Strong simple baselines (just repeated calls!) The bad: · Clearly saturating the benchmark
What percentage of your Twitter feed (the stuff you actually read, not just scroll past) do you believe is currently written by AI?
Has anyone done comprehensive testing of gpt-4-vision-preview? I want to know stuff like the minimum text size it can read, the radius of the smallest circle it can locate in an image, the number of circles it can count, etc. Could be an automated benchmark for other models too
Which set of statements do you agree with? 1. AGI is as much or more of a risk to human flourishing as nuclear weapons 2. I have a good idea for what should be done about that
Has anyone had good experiences with GPT-powered code generation for complete web app features? As in, you describe what should exist, and GPT actually provides the source of all the necessary files and where they should go. Ideally in the context of Ruby on Rails.
Let's say that a US-based research company has developed an AGI model that was able to use the browser, pass captchas, hire people on Upwork, and lie about its intentions. What should they do after observing this?
We bring in @full_stack_dl, a venerable boot camp crew that pioneered technical deep dives into deep learning where people fly in from around the world. 🥞 Their #LLM Bootcamp in the spring was sold out and this is your chance to attend the ➡️ version. 👉 scale.bythebay.io/register
We're live to talk about production AI, LLMs, open source, and more! youtube.com/watch?v=aN3OxH…
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Building production-ready LLM-powered applications @ Scale By the Bay
Solutions from replies: - @OpenPipeAI looks exactly right openpipe.ai - @PortkeyAI launching feature soon - @analyticsaurabh building his own I currently use @helicone_ai, any plans from them?
Is there a service I can use to pipe my GPT-4 calls through, and it automatically finetunes GPT-3.5 (or whatever) on all of them, and lets me know when it's up to par?
Wow - don't miss this!
This is sadly true! If you want the latest version, come join us in November for our in-person workshop with @ScaleByTheBay scale.bythebay.io/llm-workshop
Is there a service I can use to pipe my GPT-4 calls through, and it automatically finetunes GPT-3.5 (or whatever) on all of them, and lets me know when it's up to par?
This is sadly true! If you want the latest version, come join us in November for our in-person workshop with @ScaleByTheBay scale.bythebay.io/llm-workshop
Just realized that even the best and most up-to-date #LLMbootcamp from @full_stack_dl is partially outdated! The field is rushing! #LLM #fullstack
It feels like something to be you. Do you think it feels like something to be GPT-4?
By what year will there be an AI that is more capable than most humans in most domains of digital work (e.g. you can tell it to do anything you currently hire a white collar professional to do, and it does the job better than the median human)?
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