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901.
▲
Deepseek.cpp: CPU inference for the DeepSeek family of LLMs in pure C++
(github.com/andrewkchan)
2 points
hedgehog0
a year ago
discuss
902.
▲
Cellm: Use LLMs in Excel Formulas
(github.com/getcellm)
2 points
sebg
a year ago
discuss
903.
▲
Chatbox: User-Friendly Desktop Client App for AI Models/LLMs
(github.com/Bin-Huang)
2 points
thunderbong
a year ago
discuss
904.
▲
Run LLM's in the Browser
(github.com/sauravpanda)
2 points
slalani304
a year ago
discuss
905.
▲
Browser AI: Open-source library to run LLM's in browser
(github.com/sauravpanda)
2 points
slalani304
a year ago
discuss
906.
▲
Show HN: Raink – Document ranker using LLMs
(github.com/BishopFox)
2 points
noperator
a year ago
discuss
907.
▲
"Contemplative reasoning" response style for LLMs
(gist.github.com)
2 points
scapecast
a year ago
discuss
908.
▲
Show HN: Baler – convert code repositories into minimum number of files for LLMs
(github.com/plant99)
2 points
plant99
a year ago
discuss
909.
▲
Show HN: Ggrab, Grug Grab Tool to manually gather context for pasting into LLMs
(github.com/keizo)
2 points
keizo
a year ago
discuss
910.
▲
Instruct LLMs to do what you want in Ruby
(github.com/instruct-rb)
2 points
ksec
a year ago
discuss
911.
▲
Show HN: Model Validation Using LLMs
(github.com/joseprupi)
2 points
melenaboija
a year ago
discuss
912.
▲
Show HN: Running local LLMs inside Godot
(github.com/nobodywho-ooo)
2 points
nobodywho-ooo
a year ago
discuss
913.
▲
Show HN: We built open-source framework for testing LLMs, RAGs, Chatbots
(github.com/Addepto)
2 points
johnbl
2 years ago
discuss
914.
▲
CurlDuck, curl script for DuckDuckGo LLMs like Llama3
(github.com/zoobab)
2 points
zoobab
2 years ago
discuss
915.
▲
llmcat – CLI tool to quickly select and copy files/dirs for LLMs
(github.com/azer)
2 points
akoculu
2 years ago
discuss
916.
▲
Misguided Attention – Prompts to challenge the reasoning ability of LLMs
(github.com/cpldcpu)
2 points
cpldcpu
2 years ago
discuss
917.
▲
Smartcat: Integrating LLMs in the Unix commands ecosystem through text streams
(github.com/efugier)
2 points
aiNohY6g
2 years ago
discuss
918.
▲
DuoAttention-Slashes memory and latency for LLMs without sacrificing performance
(github.com/mit-han-lab)
2 points
dsr12
2 years ago
discuss
919.
▲
Torchtune – a native PyTorch library for fine-tuning LLMs
(github.com/pytorch)
2 points
desideratum
2 years ago
discuss
920.
▲
TPI-LLM: Serving 70B-Scale LLMs Efficiently on Low-Resource Edge Devices
(github.com/Lizonghang)
2 points
lnyan
2 years ago
discuss
921.
▲
An open source attack tool against LLMs
(github.com/BishopFox)
2 points
keepamovin
2 years ago
discuss
922.
▲
Cot Decoding – Eliciting Reasoning from LLMs
2 points
codelion
2 years ago
discuss
923.
▲
Kuzco: Enhance your Terraform configurations powered by local LLMs
(github.com/RoseSecurity)
2 points
r0nan
2 years ago
discuss
924.
▲
SpikeLM: A spiking neural network that paves the road to energy-efficient LLMs
(github.com/Xingrun-Xing)
2 points
vegax87
2 years ago
discuss
925.
▲
Nanoflow: A throughput-oriented high-performance serving framework for LLMs
(github.com/efeslab)
2 points
console-log
2 years ago
discuss
926.
▲
Tool for unminifying JavaScript with LLMs without breaking the code
(github.com/jehna)
2 points
jehna1
2 years ago
discuss
927.
▲
Say Goodbye to Tedious Prompting: This Engine Makes LLMs Talk Like Experts(WIP)
(github.com/offline-ai)
2 points
riceball
2 years ago
discuss
928.
▲
Show HN: Created a notebook to compare the top LMSYS vision models easily
(github.com/Portkey-AI)
2 points
roh26it
2 years ago
discuss
929.
▲
Run PyTorch LLMs locally on servers, desktop and mobile
(github.com/pytorch)
2 points
bbzjk7
2 years ago
discuss
930.
▲
Torchchat: Run PyTorch LLMs locally on servers, desktop and mobile
(github.com/pytorch)
2 points
OutOfHere
2 years ago
discuss
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