Thread by @sandra_kublik

I remember when I got into the beta user list for GPT-3.0, and interacting with it became my daily hobby.

Fast forward three years and your stance on large language models can make or break your company's stock price!

Business adoption is imminent. 🧵👇🏻 #llms

I’m super excited about the emerging tool stack that helps to deploy and scale real-world LLM solutions.

I made a YouTube video about a big-picture overview of four tools from the emerging LLM developer stack that lets you build advanced LLM apps 👇🏻

YouTube video link:

The four categories are:

1. Foundation models
2. Data frameworks
3. Vector embeddings and vector databases
4. Agent frameworks

I also threw in some really cool and helpful demos and resources to learn more about them and get started with your own LLM apps, like:

@disiok 's @llama_index demo, Ask Complex Queries over Multiple Documents
🔥

@JayAlammar notebook, Wikipedia Semantic Search with @CohereAI + @weaviate_io github.com/cohere-ai/note… 🔥

@RLanceMartin 's @LangChainAI Lex GPT app and repo github.com/rlancemartin/l…
lex-gpt.vercel.app 🔥

@RLanceMartin @LangChainAI @RealRichomie 's Chrome GPT demo + repo
github.com/richardyc/Chro… 🔥

https://twitter.com/1114436917435744256/status/1653484066010718208

@CohereAI LLM University llm.university from @MeorAmer1 @SerranoAcademy @JayAlammar 🔥

@CohereAI @MeorAmer1 @SerranoAcademy @JayAlammar And more great resources.
Now pls go build something awesome 🙏

https://twitter.com/847893303064498176/status/1671546906319761411