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LLMs
🧠 LLMs
Specific
large language models, GPT, transformers, fine-tuning
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3201
posts in
18.1
ms
Using
Scikit-LLM
with Open-Source LLMs
⚡
Inference
machinelearningmastery.com
·
6d
6 days ago
Actions for Using Scikit-LLM with Open-Source LLMs
LLM
Routing: From Strategy Selection to Production
Architecture
⚡
Inference
Content type:
Blog
blog.n8n.io
·
3h
3 hours ago
Actions for LLM Routing: From Strategy Selection to Production Architecture
The Neutral Mask: How
RLHF
Provides Shallow Alignment while Leaving Partisan Structure Intact in a
Large
Language
Model
⚡
Inference
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model
147th airhacks tv: Local
LLMs
, LightMetal, ZSmith Agents, AI Rails, Saving Tokens
🤖
AI Agents
Content type:
Blog
adambien.blog
·
16h
16 hours ago
Actions for 147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens
techjarves/Portable-AI-USB: A 100% offline, fully portable, zero-trace AI (
Ollama
+
Llama
3 + AnythingLLM) that runs natively from a USB drive on Windows and Mac.
⚡
Inference
Content type:
Code
github.com
·
1d
1 day ago
Actions for techjarves/Portable-AI-USB: A 100% offline, fully portable, zero-trace AI (Ollama + Llama 3 + AnythingLLM) that runs natively from a USB drive on Windows and Mac.
AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support
⚡
Inference
phoronix.com
·
2h
2 hours ago
Actions for AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support
Using local
LLMs
for agentic coding
⚡
Inference
Content type:
Blog
blog.alexewerlof.com
·
6d
6 days ago
Actions for Using local LLMs for agentic coding
Why
LLMs
(still) lack taste
🔧
MLOps
beyondtheprior.com
·
1d
1 day ago
·
Hacker News
Actions for Why LLMs (still) lack taste
Blogging with an
LLM
assistant
🗄️
Databases
vincent.bernat.ch
·
22h
22 hours ago
·
Lobsters
,
Hacker News
Actions for Blogging with an LLM assistant
Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%
⚡
Inference
zozo123.github.io
·
8h
8 hours ago
·
Hacker News
Actions for Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%
A Plea to the Labs: Let the
Models
Diagnose.
🔧
MLOps
Content type:
Blog
tangent.bearblog.dev
·
3h
3 hours ago
·
Hacker News
Actions for A Plea to the Labs: Let the Models Diagnose.
Report: Why developers use
LLMs
to write blog posts
⚡
Inference
Content type:
News
Content type:
Blog
writethatblog.substack.com
·
1d
1 day ago
·
Substack
Actions for Report: Why developers use LLMs to write blog posts
Improved performance and
model
support with GGUF
⚡
Inference
Content type:
Blog
ollama.com
·
5d
5 days ago
Actions for Improved performance and model support with GGUF
Timing Trick Cuts Energy Used in
LLM
Training by Up to 14 Percent
🤖
AI
Content type:
News
spectrum.ieee.org
·
8h
8 hours ago
·
Hacker News
Actions for Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
You don't need Copilot for code completion, try this instead
⚡
Inference
mistral.ai
·
2d
2 days ago
·
r/GithubCopilot
Actions for You don't need Copilot for code completion, try this instead
local
llm
on laptop 780M GPU using
llama
+ gemma 4 qat
⚡
Inference
Content type:
Blog
alper.bearblog.dev
·
4d
4 days ago
Actions for local llm on laptop 780M GPU using llama + gemma 4 qat
Ungrounded
LLM
Fabricates Every Detail for Nearly 1 in 5 Movie and TV Titles Tested, New Gracenote Report
Finds
⚡
Inference
Content type:
News
nielsen.com
·
6h
6 hours ago
Actions for Ungrounded LLM Fabricates Every Detail for Nearly 1 in 5 Movie and TV Titles Tested, New Gracenote Report Finds
LLM
are universal simulators
⚡
Inference
invertedpassion.com
·
2d
2 days ago
·
Hacker News
Actions for LLM are universal simulators
Startups are ruining Reddit with AI SEO slop
⚡
Inference
Content type:
Blog
frigade.com
·
19h
19 hours ago
·
Hacker News
Actions for Startups are ruining Reddit with AI SEO slop
Slangify: The Case for DSLs in
LLM
Workflows
⚡
Inference
Content type:
Blog
rakujourney.wordpress.com
·
2d
2 days ago
Actions for Slangify: The Case for DSLs in LLM Workflows
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