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LLMs
🧠 LLMs
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large language models, LLM, foundation models, transformer
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3294
posts in
10.0
ms
harshuljain13/llm-inference-at-scale
: A Practitioner handbook for production
llm
serving.
💡
AI
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.
Introducing the Third
Generation
of Apple’s
Foundation
Models
💡
AI
machinelearning.apple.com
·
2d
2 days ago
·
Hacker News
,
r/apple
Actions for Introducing the Third Generation of Apple’s Foundation Models
The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of
Large
Language
Models
💡
AI
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models
Nvidia Ships the
Foundation
Model
Physical
AI
Has Been Waiting For
🛠️
AI Tooling
pymnts.com
·
21h
21 hours ago
Actions for Nvidia Ships the Foundation Model Physical AI Has Been Waiting For
LangChain Explained: Understanding
Models
,
Prompts
, Chains, Memory, Indexes, and Agents
✍️
Prompt Engineering
Content type:
Blog
towardsai.net
·
2d
2 days ago
Actions for LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents
How
LLMs
work | Practical Leaders
🛠️
AI Tooling
practical-leaders.com
·
5d
5 days ago
·
Hacker News
Actions for How LLMs work | Practical Leaders
LLM
Routing: From Strategy Selection to Production Architecture
⚙️
Workflow Automation
Content type:
Blog
blog.n8n.io
·
4h
4 hours ago
Actions for LLM Routing: From Strategy Selection to Production Architecture
Inferoa
AI
harness claimed 90% cache savings. We ran it and measured 97.8%
🛠️
AI Tooling
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%
Why
LLMs
(still) lack taste
💡
AI
beyondtheprior.com
·
1d
1 day ago
·
Hacker News
Actions for Why LLMs (still) lack taste
NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local
AI
💡
AI
Content type:
Blog
blogs.nvidia.com
·
3h
3 hours ago
Actions for NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI
Apple's
Foundation
Models
can now use third-party
LLMs
(Claude, Gemini) [video]
🔶
Claude
developer.apple.com
·
2d
2 days ago
·
Hacker News
Actions for Apple's Foundation Models can now use third-party LLMs (Claude, Gemini) [video]
Using
Scikit-LLM
with Open-Source LLMs
🔓
Open Source LLMs
machinelearningmastery.com
·
6d
6 days ago
Actions for Using Scikit-LLM with Open-Source LLMs
LLMs
Are Brilliant. But They Can Be Fooled.
🔓
Open Source LLMs
Content type:
Blog
medium.com
·
10h
10 hours ago
Actions for LLMs Are Brilliant. But They Can Be Fooled.
RAG
Pipeline Explained: From Query to Answer, Step by Step
📚
RAG
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for RAG Pipeline Explained: From Query to Answer, Step by Step
LLM
Inference
Engineering
Room — Part 3: The Orchestration Layer
🛠️
AI Tooling
Content type:
Blog
vimal-dwarampudi.medium.com
·
6d
6 days ago
Actions for LLM Inference Engineering Room — Part 3: The Orchestration Layer
Modernizing
attendance ticketing in SAS Viya using SAS Agentic
AI
Accelerator
🤖
AI Agents
Content type:
Blog
blogs.sas.com
·
1d
1 day ago
Actions for Modernizing attendance ticketing in SAS Viya using SAS Agentic AI Accelerator
GGUF vs GPTQ vs AWQ: The Plain-English Guide to
LLM
Quantization
(and Which One to Pick)
🔓
Open Source LLMs
vettedconsumer.com
·
4d
4 days ago
·
Hacker News
Actions for GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)
WWDC 2026:
Foundation
Models
(& Anarlog)
🔓
Open Source LLMs
skushagra.com
·
1d
1 day ago
Actions for WWDC 2026: Foundation Models (& Anarlog)
Comprehensive evaluation of
LLM
capabilities for interpretation and analysis of genome-scale metabolic
models
in metabolic
engineering
🐋
DeepSeek
Content type:
Academic
biorxiv.org
·
1d
1 day ago
Actions for Comprehensive evaluation of LLM capabilities for interpretation and analysis of genome-scale metabolic models in metabolic engineering
Gemma 4 QAT
models
: Optimizing model compression for mobile and laptop efficiency
🔓
Open Source LLMs
Content type:
News
Content type:
Blog
blog.google
·
5d
5 days ago
·
Hacker News
Actions for Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency
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