Just finished cooking a new GraphRAG database! 👨🍳 🔥🍳 - introducing GraphMemory!
Great for making hybrid knowledge / vector graphs! Each node holds a vector embedding. Should scale well and does not require a server to run!
🔥Attention🔥 Will be dropping an opensource GraphRAG database later today for use with LLMs.
Integrated lessons learned from previous experience including dual semantic representations (knowledge graph / vector hybrid). Would appreciate all support.
Stay tuned & keep cooking.🧑🍳
hacked bitnet for finetuning, ended up with a 74mb file. It talks fine at 198 tokens per second on just 1 cpu core. Basically witchcraft.
opensourcing later via
@skunkworks_ai
base here:
‼️🚨 Imminent Drop alert 🚨‼️
Will be pushing a Cypher query language parser and DSPy knowledge graph extractor soon to GraphMemory…
Stay tuned and keep cooking! 🧑🍳 🔥 🍳🥘
🔥Just pushed GraphMemory 0.2! 🔥
Updates include:
- Parser to allow Cypher queries to database
- Updated OpenAI example to build knowledge graphs
- Updated schema for compatibility
Would appreciate stars on the Github Repo!
Pip command in comments!
🔥Attention🔥 Will be dropping an opensource GraphRAG database later today for use with LLMs.
Integrated lessons learned from previous experience including dual semantic representations (knowledge graph / vector hybrid). Would appreciate all support.
Stay tuned & keep cooking.🧑🍳
Just wanted to send a huge thank you to
@ryancarson
and the rest of the team at
@IntelAI
for this amazing Arc A770 GPU.
I won it in a giveaway during one of their Spaces!
🙏 🙏 🙏
Will be trying some cool stuff with it using / training LLM models in the near future!
ANNOUNCEMENT TIME
UpvoteWeb-24-600M ! build out by Grass Foundation! a majorly useful research artifact!
UpvoteWeb-24-600M contains:
600 million of the top posts and comments from Reddit in 2024
media links!
reply lineage!
The data has been totally anonymized to preserve user
Introducing Openplexity Pages, with agents!🕵🏻
My new repo that allows Llama 3.1 405B to create, organize, and share information.
Think of it as an open-source version of Perplexity Pages, powered by
@crewAIInc
agents and
@GroqInc
's blazingly fast inference.
Tomorrow! Thrilled to finally release the open-source version of Perplexity Pages with
@crewAIInc
, Llama 3.1 405B, and
@GroqInc
.
Big thanks to
@GroqInc
for their blazing-fast inference that makes this all possible.
Nice family tree I found on the hierarchy of AI.
Would be very interested to see this fully built out with LLM models / their genealogy. Tracking the history of LLM merges could be very interesting / useful in the future...
WOW, SambaNova is giving over 123 tokens/second on llama 3.1 405B with their ASIC hardware 🤯
Llama 3.1 8B at over 1000 tokens / second 🤯
Also, you use it without any signup
Just came across this fantastic example of visualizing agent/human participation in complex tasks. Graphs like these are incredibly powerful yet still underutilized! 📊
Please show
@duttonphi
some love and ⭐️his repo!
@Teknium1
The concept of visualizing task descriptions is a kind of utility case (as seen in my repo which needs some stars ⭐️ 😂
I assume this technique could play a part of more reasoning benchmarks. YMMV
)
Data and LLM models need to be split. It doesn't make sense to solely rely on a model if it hallucinates. It's oftentimes difficult to tell when a model is hallucinating, therefore data from a model cannot be trusted at all. RAG on verified data is the only way forward.
I've decided I will be open sourcing a lot more LLM tools in the coming days.
Will be dropping a LLM oriented database tool that I've been sitting on for a bit either later today or tomorrow.
Stay tuned.
"Well I think what's happening or what's about to happen it's sort of like we've discovered a new continent with 100 billion people on it and they're willing to work for free."
-Nat Friedman