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LLMs
🧠 LLMs
large language models, GPT, inference, transformers
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DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200
🕹️
Game Dev
Content type:
News
newsletter.semianalysis.com
·
1d
1 day ago
·
Hacker News
Actions for DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200
Deep Learning Weekly: Issue 458
⚙️
Compilers
deeplearningweekly.com
·
6d
6 days ago
Actions for Deep Learning Weekly: Issue 458
NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI
🕹️
Game Dev
Content type:
Blog
blogs.nvidia.com
·
6h
6 hours ago
Actions for NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI
The Rise of Agentic AI: What Every
Engineer
Should Learn
🤖
Coding Agents
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for The Rise of Agentic AI: What Every Engineer Should Learn
Transitioning from Azure
Language
Features to Foundry
Models
🤖
Coding Agents
techcommunity.microsoft.com
·
6h
6 hours ago
Actions for Transitioning from Azure Language Features to Foundry Models
2x GH200 for
LLM
inference
, Part 2:
vLLM
, DeepSeek V4 Flash, and MTP
⚙️
Compilers
Content type:
Blog
dnhkng.github.io
·
3d
3 days ago
Actions for 2x GH200 for LLM inference, Part 2: vLLM, DeepSeek V4 Flash, and MTP
Treating
LLMs
as Programming Books
📐
PL Design
Content type:
Blog
jola.dev
·
1d
1 day ago
·
Hacker News
Actions for Treating LLMs as Programming Books
147th airhacks tv: Local
LLMs
, LightMetal, ZSmith Agents, AI Rails, Saving Tokens
🕹️
Game Dev
Content type:
Blog
adambien.blog
·
19h
19 hours ago
Actions for 147th airhacks tv: Local LLMs, LightMetal, ZSmith Agents, AI Rails, Saving Tokens
Train
Models
Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell
🕹️
Game Dev
Content type:
News
Content type:
Blog
developer.nvidia.com
·
2d
2 days ago
Actions for Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell
How we fight GPU scarcity without compromise
λ
Type Systems
Content type:
Blog
equixly.com
·
5d
5 days ago
·
Hacker News
Actions for How we fight GPU scarcity without compromise
The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of
Large
Language
Models
λ
Type Systems
Content type:
Academic
arxiv.org
·
19h
19 hours ago
Actions for The Shibboleth Effect: Auditing the Cross-Lingual Distributional Skew of Large Language Models
Claude
Fable 5 is Mythos for the masses
🕹️
Game Dev
Content type:
Blog
techzine.eu
·
1d
1 day ago
Actions for Claude Fable 5 is Mythos for the masses
DiffusionGemma: 4x Faster Text Generation
🕹️
Game Dev
Content type:
News
Content type:
Blog
blog.google
·
7h
7 hours ago
·
Hacker News
,
r/LocalLLaMA
,
r/singularity
Actions for DiffusionGemma: 4x Faster Text Generation
Build a Medical Report Analyzer on Dedicated
Inference
with Python
λ
Type Systems
digitalocean.com
·
6d
6 days ago
Actions for Build a Medical Report Analyzer on Dedicated Inference with Python
Token4Token — pay-per-token
inference
on Gnosis + Swarm
λ
Type Systems
t4t.eth.link
·
1d
1 day ago
·
Hacker News
Actions for Token4Token — pay-per-token inference on Gnosis + Swarm
zhongkaifu/TensorSharp: A C#
inference
engine
for running
large
language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability
λ
Type Systems
Content type:
Code
github.com
·
6d
6 days ago
·
Hacker News
Actions for zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability
China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and
Claude
(4 minute read)
🕹️
Game Dev
Content type:
News
decrypt.co
·
2d
2 days ago
Actions for China's Xiaomi MiMo Is Now 15X Faster Than ChatGPT and Claude (4 minute read)
Gemma 4 QAT
models
: Optimizing model compression for mobile and laptop efficiency
⚙️
Compilers
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
Melanie Mitchell: What We Get Wrong About AI
🤖
Coding Agents
yalereview.org
·
2d
2 days ago
·
Substack
,
Hacker News
,
Hacker News
Actions for Melanie Mitchell: What We Get Wrong About AI
Research Proposal: Decoupled
RISC-LLM
Architectures via Circadian Synaptic Consolidation
🖥️
Systems Programming
aermia.com
·
4d
4 days ago
·
Hacker News
Actions for Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation
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