Exploring AI Tools, Techniques, and Pinecone

Web and AI Tools:

• Langchain and WebGPT discussed
• Kubiya.ai resource shared and discussed
• Helm charts and K8s clusters can be managed via chat interface using natural language
• Discussion on the evolution of computer engineering from command lines to GUIs and back to command lines

AI Techniques:

• Advanced stable diffusion techniques for inpainting and controlnet discussed
• Tutorial on creating consistent AI characters across images with SD shared
• Request for AI art/text to image group
• Proposal for a separate DeepMedia: Generative Art (Text to Images, Video, Music) group
• Illustrated Transformers and other resources shared

Pinecone:

• Discussion on hybrid index and querying with only dense embeddings on Pinecone

Miscellaneous:

• Request for a public xlxs doc to keep track of shared links
• Discussion on the need for separate image and text to action groups
• Mention of in-context learning and Microsoft paper on the topic
• Use of Markdown suggested for organizing group chat discussions.

Links #

The description and link can be mismatched because of extraction errors.

• https://kubiya.ai/ - A resource that the speaker absolutely loves and is asking if anyone has tried something similar.
• https://blog.replit.com/llm-training: The message mentions a talk on advanced stable diffusion techniques for a hackathon, covering how to inpaint and use controlnet within the inpainting mask.
• https://www.reddit.com/r/StableDiffusion/comments/12etqvx/tutorial_creating_a_consistent_character_as_a/?utm_source=share&utm_medium=ios_app&utm_name=ioscss&utm_content=1&utm_term=1 - Tutorial on creating consistent AI characters across images with SD, shared in a message about a 3D artist who has worked with NeRFs.
• https://jalammar.github.io/illustrated-transformer/ - A link to an illustrated guide on Transformers, with a message thanking someone named Nirant.
• https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ: A YouTube playlist, possibly related to a conversation with Nirant.
• https://docs.google.com/spreadsheets/d/1G0_r4gg4tb0ZE1VQlp-pGLprJ-0qL44VoK7-39EDIO4/edit?usp=sharing: A Google Sheets document, described as a “quick and dirty effort” and possibly related to the same conversation with Nirant.
• https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ: Link to a YouTube playlist. The message in the same link as the link is unrelated to the playlist.
• https://news.mit.edu/2023/large-language-models-in-context-learning-0207: Researchers are exploring a curious phenomenon known as in-context learning, in which a large language model learns to accomplish a task after seeing only a few examples.
• https://news.mit.edu/2023/large-language-models-in-context-learning-0207: Researchers are exploring a curious phenomenon known as in-context learning, in which a large language model learns to accomplish a task after seeing only a few examples.