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LLMs
🧠 LLMs
Specific
large language models, GPT, Claude, Gemini, foundation models
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Show HN: Run
Llama.cpp
In-Process from Java with Project Panama FFM
🧠
LLM Inference
deemwar-products.github.io
·
6d
6 days ago
·
Hacker News
Actions for Show HN: Run Llama.cpp In-Process from Java with Project Panama FFM
Less-relevant results
The Missing Link Between Agents and Applications
🤖
AI Agents
Content type:
Blog
langchain.com
·
1d
1 day ago
·
Hacker News
Actions for The Missing Link Between Agents and Applications
Prompt Injection in
RAG
Agentic Systems
🪟
Context Windows
ulad.net
·
3d
3 days ago
·
Hacker News
Actions for Prompt Injection in RAG Agentic Systems
Machinic Psychopharmacology: Do
LLMs
Self-Medicate?
🧠
LLM Inference
lesswrong.com
·
1d
1 day ago
·
Hacker News
Actions for Machinic Psychopharmacology: Do LLMs Self-Medicate?
How
LLMs
Actually Work: A Friendly Map for Humans • oreoro
💬
Natural Language Processing
oreoro.github.io
·
5d
5 days ago
·
Hacker News
Actions for How LLMs Actually Work: A Friendly Map for Humans • oreoro
When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines
🪟
Context Windows
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for When Poison Fails After Retrieval: Revisiting Corpus Poisoning under Chunking and Reranking Pipelines
Agentic Search
Models
with OpenSearch and Elasticsearch
🔍
Information Retrieval
Content type:
Blog
bonsai.io
·
6d
6 days ago
·
Hacker News
Actions for Agentic Search Models with OpenSearch and Elasticsearch
MarkSentry – zero-trust document-to-Markdown for
RAG
pipelines
🪟
Context Windows
sunilgentyala.github.io
·
1d
1 day ago
·
Hacker News
Actions for MarkSentry – zero-trust document-to-Markdown for RAG pipelines
NetX-lab/Frontier: Frontier: A Discrete-Event Simulator for
Modern
LLM
Serving
🧠
LLM Inference
Content type:
Code
github.com
·
12h
12 hours ago
·
Hacker News
Actions for NetX-lab/Frontier: Frontier: A Discrete-Event Simulator for Modern LLM Serving
Token4Token — pay-per-token inference on Gnosis + Swarm
🧠
LLM Inference
t4t.eth.link
·
2d
2 days ago
·
Hacker News
Actions for Token4Token — pay-per-token inference on Gnosis + Swarm
Show HN:
LLM
memory without context bleed; 100% precision vs. <10% vector search
🪟
Context Windows
tenureai.dev
·
6d
6 days ago
·
Hacker News
,
Hacker News
Actions for Show HN: LLM memory without context bleed; 100% precision vs. <10% vector search
Show HN: Bosun – a small
model
that keeps an agent's memory graph clean
🎯
Fine-tuning
huggingface.co
·
1h
1 hour ago
·
Hacker News
Actions for Show HN: Bosun – a small model that keeps an agent's memory graph clean
DiffusionGemma: 4x Faster Text
Generation
🤖
Data science
Content type:
News
Content type:
Blog
blog.google
·
1d
1 day ago
·
Hacker News
,
r/LocalLLaMA
,
r/singularity
Actions for DiffusionGemma: 4x Faster Text Generation
Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels
🤖
AI Agents
Content type:
Blog
socket.dev
·
3d
3 days ago
·
Hacker News
Actions for Mini Shai-Hulud, Miasma, and Hades Worms Target Bioinformatics and MCP Developers via Malicious PyPI Wheels
Introducing GitLab Orbit
🪟
Context Windows
Content type:
Blog
about.gitlab.com
·
1d
1 day ago
·
Hacker News
Actions for Introducing GitLab Orbit
NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent
RAG
System for the Text-to-Text Track
🪟
Context Windows
Content type:
Academic
arxiv.org
·
15h
15 hours ago
Actions for NightFeats @ MMU-RAGent NeurIPS 2025: A Context-Optimized Multi-Agent RAG System for the Text-to-Text Track
memory OS for
AI
agents (ranks, compresses and evolves agents memory)
🔍
Information Retrieval
thrindex.com
·
23h
23 hours ago
·
Hacker News
Actions for memory OS for AI agents (ranks, compresses and evolves agents memory)
I built a graph-memory layer on top of turbovec for local/constrained
RAG
— looking for feedback
🔢
Embeddings
Content type:
Code
github.com
·
3h
3 hours ago
·
r/LocalLLaMA
Actions for I built a graph-memory layer on top of turbovec for local/constrained RAG — looking for feedback
Engineers building MCPs in regulated industries: what's been the hardest part?
🪟
Context Windows
deepsense.ai
·
6d
6 days ago
·
Hacker News
Actions for Engineers building MCPs in regulated industries: what's been the hardest part?
The
AI
Curse (Vis the Lisp Curse)
🪟
Context Windows
Content type:
Blog
blog.djhaskin.com
·
1d
1 day ago
·
Hacker News
Actions for The AI Curse (Vis the Lisp Curse)
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