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LLMs
🧠 LLMs
Specific
large language models, GPT, Claude, foundation models
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493
posts in
7.0
ms
harshuljain13/llm-inference-at-scale
: A Practitioner handbook for production
llm
serving.
⚙️
MLOps
Content type:
Code
github.com
·
4d
4 days ago
·
Hacker News
Actions for harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.
Why
LLMs
(still) lack taste
⚙️
MLOps
beyondtheprior.com
·
2d
2 days ago
·
Hacker News
Actions for Why LLMs (still) lack taste
NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local
AI
⚙️
MLOps
Content type:
Blog
blogs.nvidia.com
·
14h
14 hours ago
Actions for NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI
The Neutral Mask: How
RLHF
Provides Shallow Alignment while Leaving Partisan Structure Intact in a
Large
Language
Model
⚙️
MLOps
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model
Inferoa
AI
harness claimed 90% cache savings. We ran it and measured 97.8%
⚙️
MLOps
zozo123.github.io
·
20h
20 hours ago
·
Hacker News
Actions for Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%
Using
Scikit-LLM
with Open-Source LLMs
🐍
Python
machinelearningmastery.com
·
6d
6 days ago
Actions for Using Scikit-LLM with Open-Source LLMs
Get officially certified in
Claude
AI
for just $19.99
✍️
Prompt Engineering
pcworld.com
·
22h
22 hours ago
Actions for Get officially certified in Claude AI for just $19.99
LLM
Observability: What To Instrument and How To Act on It
✍️
Prompt Engineering
Content type:
Blog
blog.n8n.io
·
2d
2 days ago
Actions for LLM Observability: What To Instrument and How To Act on It
If
LLMs
are all persona, whose persona are they?
✍️
Prompt Engineering
persona.earthpilot.ai
·
3h
3 hours ago
·
Hacker News
Actions for If LLMs are all persona, whose persona are they?
local
llm
on laptop 780M GPU using
llama
+ gemma 4 qat
⚙️
MLOps
Content type:
Blog
alper.bearblog.dev
·
4d
4 days ago
Actions for local llm on laptop 780M GPU using llama + gemma 4 qat
Google open-sources speedy DiffusionGemma text diffusion
model
✍️
Prompt Engineering
siliconangle.com
·
6h
6 hours ago
Actions for Google open-sources speedy DiffusionGemma text diffusion model
Claude
Fable 5 is Mythos for the masses
✍️
Prompt Engineering
Content type:
Blog
techzine.eu
·
1d
1 day ago
Actions for Claude Fable 5 is Mythos for the masses
AMD's Lemonade SDK For Local
AI
Adds NVIDIA CUDA Support
⚙️
MLOps
phoronix.com
·
14h
14 hours ago
·
r/artificial
Actions for AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support
Report: GKE Inference Gateway delivers up to 92% faster
AI
responses
🔌
APIs
Content type:
Blog
cloud.google.com
·
2d
2 days ago
·
Hacker News
Actions for Report: GKE Inference Gateway delivers up to 92% faster AI responses
How J.A.R.V.I.S. Became the Smartest Mind on Earth — What is an
LLM
?
✍️
Prompt Engineering
Content type:
Blog
medium.com
·
3d
3 days ago
Actions for How J.A.R.V.I.S. Became the Smartest Mind on Earth — What is an LLM?
A Plea to the Labs: Let the
Models
Diagnose.
⚙️
MLOps
Content type:
Blog
tangent.bearblog.dev
·
15h
15 hours ago
·
Hacker News
Actions for A Plea to the Labs: Let the Models Diagnose.
A free diagnostic for the
Claude
Certified
Architect
exam
✍️
Prompt Engineering
Content type:
Discussion
Content type:
Tutorial
claudecertifiedarchitects.com
·
1d
1 day ago
·
Hacker News
Actions for A free diagnostic for the Claude Certified Architect exam
Introducing the Third
Generation
of Apple’s
Foundation
Models
✍️
Prompt Engineering
machinelearning.apple.com
·
3d
3 days ago
·
Hacker News
,
r/apple
Actions for Introducing the Third Generation of Apple’s Foundation Models
147th airhacks tv: Local
LLMs
, LightMetal, ZSmith Agents,
AI
Rails, Saving Tokens
🤖
AI Agents
Content type:
Blog
adambien.blog
·
1d
1 day ago
Actions for 147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens
AI
101: From
Prompt
Engineering
to Skill
Engineering
✍️
Prompt Engineering
turingpost.com
·
9h
9 hours ago
Actions for AI 101: From Prompt Engineering to Skill Engineering
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