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LLM
🧠 LLM
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Large Language Model, GPT, Transformer
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187
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ms
Meet Hades: The malware that lies to AI security agents
🐙
GitHub
Content type:
News
infoworld.com
·
1d
1 day ago
·
Hacker News
Actions for Meet Hades: The malware that lies to AI security agents
Larger
context
windows
and configurable reasoning levels for GitHub Copilot - GitHub Changelog
🐙
GitHub
Content type:
Blog
github.blog
·
6d
6 days ago
·
Hacker News
Actions for Larger context windows and configurable reasoning levels for GitHub Copilot - GitHub Changelog
LangChain Explained: Understanding
Models
,
Prompts
, Chains, Memory, Indexes, and Agents
🤖
AI Tools
pub.towardsai.net
·
2d
2 days ago
Actions for LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents
StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs
💬
Natural Language Processing
Content type:
Blog
research.giskard.ai
·
6d
6 days ago
·
Hacker News
Actions for StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs
scottpurdy/llmbuffer:
LLM
conversation buffer with cache optimization and dynamic
context
.
💬
Prompt Engineering
Content type:
Code
github.com
·
8h
8 hours ago
·
Hacker News
,
Hacker News
Actions for scottpurdy/llmbuffer: LLM conversation buffer with cache optimization and dynamic context.
Guardian Angels:
LLM
Personalization for Productivity and Security
💻
CLI Tools
gwern.net
·
3d
3 days ago
·
Hacker News
Actions for Guardian Angels: LLM Personalization for Productivity and Security
Don't dethrone consciousness
🧠
LLMs
Content type:
News
theintrinsicperspective.com
·
5d
5 days ago
·
Hacker News
Actions for Don't dethrone consciousness
AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
🤖
AI
Content type:
Academic
arxiv.org
·
2d
2 days ago
·
Hacker News
Actions for AutoMegaKernel: A Statically-Checked Agent Harness for Self-Retargeting Megakernel Synthesis
LLM
Research Papers: The 2026 List (January to May)
🤖
AI
Content type:
News
magazine.sebastianraschka.com
·
4d
4 days ago
·
Hacker News
Actions for LLM Research Papers: The 2026 List (January to May)
Appraising Artworks with Joins and LLMs (Ultorg Database UI)
🤖
ChatGPT
ultorg.com
·
6d
6 days ago
·
Hacker News
Actions for Appraising Artworks with Joins and LLMs (Ultorg Database UI)
Show HN: Run
Llama.cpp
In-Process
from Java with Project Panama FFM
🤖
AI
deemwar-products.github.io
·
5d
5 days ago
·
Hacker News
Actions for Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM
google/gemma-4-12B-it-qat-q4_0-gguf
🧠
LLMs
huggingface.co
·
5d
5 days ago
Actions for google/gemma-4-12B-it-qat-q4_0-gguf
Nvidia Nemotron 3 Ultra
🧠
LLMs
research.nvidia.com
·
6d
6 days ago
·
Hacker News
Actions for Nvidia Nemotron 3 Ultra
manavgup/context-analyzer
:
Context
window
usage analyzer for Claude Code — MCP server + interactive dashboard
💬
Prompt Engineering
Content type:
Code
github.com
·
23h
23 hours ago
·
Hacker News
Actions for manavgup/context-analyzer: Context window usage analyzer for Claude Code — MCP server + interactive dashboard
Show HN: Ext-Infer
💬
Prompt Engineering
infer.displace.tech
·
4d
4 days ago
·
Hacker News
Actions for Show HN: Ext-Infer
How LLMs Actually Work: A Friendly Map for
Humans
• oreoro
💬
Prompt Engineering
oreoro.github.io
·
5d
5 days ago
·
Hacker News
Actions for How LLMs Actually Work: A Friendly Map for Humans • oreoro
Arithmetic Without Numbers – How LLMs Do Math
🧠
LLMs
alvaro-videla.com
·
5d
5 days ago
·
Hacker News
Actions for Arithmetic Without Numbers – How LLMs Do Math
Running Qwen 35B MoE at 450k
Context
on a Single 32GB GPU
🧠
LLMs
local-llm.utop.workers.dev
·
3d
3 days ago
·
Hacker News
Actions for Running Qwen 35B MoE at 450k Context on a Single 32GB GPU
Show HN: Audit any AI/data pairing with Veritrooper
🧠
LLMs
veritrooper.com
·
5d
5 days ago
·
Hacker News
Actions for Show HN: Audit any AI/data pairing with Veritrooper
Show HN:
LLM
memory without
context
bleed; 100% precision vs. <10% vector search
🤖
AI
tenureai.dev
·
5d
5 days ago
·
Hacker News
,
Hacker News
Actions for Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
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