Sully @SullyOmarr
cofounder @cognosysai Joined November 2020-
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250m tokens and it only cost $61 On other models it'd cost: gpt4 - $2,500 sonnet - $750 opus - $3,750 gemini 1.5 - $1,750 incredible what you can do with small + cheap models
This x100000000 Just use sota models until pmf
Hardest part about building agents isn't even the tech anymore It's balancing "this is an insane demo" vs "this is actually useful" So easy to go down the rabbit hole of building crazy multi-tool planning agents (I'm guilty of this) In practice users don't care. Its just 10x…
I’ve done a complete 180 on Langchain It’s really improved a ton especially with langsmith I can easily swap 4-5 different LLMs with 2 lines of code. All providers supported My agents mix and match various models (mostly using my own agent architecture under the hood)
Side by side comparison of llama3 on @GroqInc and gpt4-turbo. Same prompt, and similiar outputs but gpt4 is like 15x slower
Im dying for the next gpt update imagine the things you could build with a model that's 10x smarter than what's available now so many weird engineering hacks to coerce models to do things will be completely gone so many ideas that were flat out impossible before is doable
Tested a good amount of LLama 3 + other models for production use cases with agents: - Haiku still goated for 50k+ tokens. use it for large scale data processing, (don't try to structure outputs 1 shot) - Llama3 70b zucc??, its too good, like i will swap everything to this…
Wait a second.. llama3 beats both sonnet and gemini pro 1.5 This is actually huge. Open source models are back
New openai assistant updates are really good, hard to bet against them Tested retrieval, it's insanely fast & almost instant. Seems like they want to a piece of the rag pie as well At what point does it become cheaper to use them vs building your own?
Most exciting launch in a while. Solves so many problems traditional rag systems have Cohere team on fire rn
Most exciting launch in a while. Solves so many problems traditional rag systems have Cohere team on fire rn
don’t think I’ve ever seen a tech product get this many bad reviews Gotta feel for the Humane team.. this is just brutal
Since models are so good now, i need to able interchange all major LLMs based on use case Can swap to whatever model is the best, kinda like an orm Agent needs haiku and then cohere? easy swap Want to try gpt-4+tools with mistral completion? 1 line of code
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Watch this “GPT-2” model actually just be the original un-lobotomized GPT-4
🤯 Nice analysis and data from @seif_ghezala. Even when `fetch` responses are cached, Node.js @vercel Functions are always faster than Edge for dynamic rendering workloads. The reason? More powerful CPUs & fast edge <> region networking: vercel.fyi/fast-functions
I’m chaperoning for my kids school this morning - just watching some autonomous bio-munchkins interacting with each other with no clear purpose except to have fun. Anyways, seems like a good time for an AMA. Any Qs?
@GrahamFleming_ Good thing I never charged anybody for those videos 😅
🦜⛓️ Try @LangChainAI with Code Interpreting 🔶 Using @e2b_dev Code Interpreter SDK 🔶 Executing code in a secure cloud sandbox (powered by Firecracker) 🔶 Open-source Check out the Python notebook and full code👇👇
Today we’re launching the ecosystem’s best support for evaluating multi-call chains 🔎⛓️ This allows you to evaluate multi-stage workflows with many calls to LLMs and functions using Context.ai, and you can evaluate these both end-to-end and across any stage of the…
@SullyOmarr Totally! I'm doing all my building with Haiku here. Really loving it. It's fast and even surprisingly accurate. I plan to tier in the others once in production but I think I will leave it as a default entry model for my apps. Thanks @AnthropicAI.
@SullyOmarr Yes, haiku is the leading candidate for the app I'm building.
@SullyOmarr I’ve done 8 billion on haiku this month 🤣
@SullyOmarr Haiku is really a godsend. Definitely flies under the radar for how much value you get.
@SullyOmarr Groq also has really impressive pricing for Llama3
have been working on something... 🧑🍳 Generative UI + Code Interpreter
Is Devin still valued at $2 Billion after Microsoft / GitHub launch the competition?
Microsoft launches Github DEVIN! Sorry, Github Workspace!
I gotta say, 100% agree youtube.com/watch?v=ddTV12…
Damn, can't believe gpt2-chatbot is only 1.5B and will be open source.