Palmik

28 ms·

451.
ExLlama: Memory efficient way to run Llama(github.com)
3 points by Palmik 3y ago|0 comments
452.
by Palmik 3y ago
It seems unlikely that raw llama2 will perform better than purpose made encoder models like bge [1], gte [2], e5 [3] or instructor, despite it's much much larger size (for the tasks people usually need embeddings for). You can probably
453.
Text Embedding Benchmark(huggingface.co)
1 points by Palmik 3y ago|0 comments
454.
Problematic Paper Screener(irit.fr)
1 points by Palmik 3y ago|0 comments
455.
Zeroscope: Text-to-Video(huggingface.co)
1 points by Palmik 3y ago|0 comments
456.
Deno Subhosting: Serverless system of on-demand JavaScript isolates(deno.com)
4 points by Palmik 3y ago|0 comments
457.
TypingMind Custom: Customizable, Self-Hostable “ChatGPT” UI(custom.typingmind.com)
7 points by Palmik 3y ago|2 comments
458.
by Palmik 3y ago
I would like something that can keep postgres (or other source of truth) in sync with existing search database (like Elastic, Meili, or Qdrant). But the catch is that it's rare that there's 1:1 mapping between the source of truth
459.
Institutionalized Belief in the Greater Fool(investing1012dot0.substack.com)
85 points by Palmik 3y ago|95 comments
460.
by Palmik 3y ago
It also seems like a natural conclusion to the Firebase like approach of PaaS. I'm curious, what MMORPG are you running?
461.
SpacetimeDB: A new database written in Rust that replaces your server(spacetimedb.com)
3 points by Palmik 3y ago|2 comments
462.
by Palmik 3y ago
I am a bit confused about what's so outrageous about this tool. It seems that both the book authors, and some of the people in the discussion here, conflate rudimentary statistics about a book (number of words of certain kind) with the
463.
by Palmik 3y ago
How was the tool in question, the tool the book authors were outraged about, "stealing their IP"? It's also unclear how it would make any money at all -- indeed, the tool's author even said it made no money.
464.
Reflecting on my failure to build a billion-dollar company (2019)(sahillavingia.com)
78 points by Palmik 3y ago|72 comments
465.
by Palmik 3y ago
Alternatively, there's also Chapyter: https://github.com/chapyter/chapyter
466.
by Palmik 3y ago
Some other related tools: - https://langflow.org/ -- open source - https://flowiseai.com/ -- open source - https://magicloops.dev/ -- prototype
467.
VectorShift: No-code LLM workflow builder(vectorshift.ai)
2 points by Palmik 3y ago|1 comments
468.
by Palmik 3y ago
Maybe this will finally lead to high-quality open-weights solution for TTS generation.
469.
by Palmik 3y ago
Can you share for what kind of tasks you use DAG frameworks such as temporal?
470.
BTLM-3B-8k: Small LLM that fits within 3GB of memory(huggingface.co)
4 points by Palmik 3y ago|0 comments
471.
World Models: Can agents learn inside of their own dreams? (2018)(worldmodels.github.io)
2 points by Palmik 3y ago|0 comments
472.
by Palmik 3y ago
Definitely. Just to be clear, my comment wasn't to diminish the Mistral folks, they are certainly a very impressive group, but rather to contest your implication about the audience here.
473.
Med-Flamingo: Multimodal Medical Few-Shot Learner(arxiv.org)
2 points by Palmik 3y ago|0 comments
474.
OpenStatus: Open-Source Status Page and Alerting System(github.com)
5 points by Palmik 3y ago|1 comments
475.
by Palmik 3y ago
> Not something anyone reading this is going to replicate! They were L7/L6 ML researchers/eng at FAANG, I'd bet there are quite a few people like that lurking here.
476.
Show HN: LLM Podcast Chat and Summaries(dstill.ai)
5 points by Palmik 3y ago|0 comments
477.
Turing Pattern(en.wikipedia.org)
1 points by Palmik 3y ago|0 comments
478.
by Palmik 3y ago
I wonder if or how it's different from e.g. OnlyFans models delegating their chats to cheap labor in third world countries.
479.
Coral: Knowledge Assistant for Enterprises(cohere.com)
2 points by Palmik 3y ago|0 comments
480.
The case for 4-bit precision: k-bit Inference Scaling Laws(arxiv.org)
1 points by Palmik 3y ago|0 comments

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