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LLMs
💬 LLMs
Specific
Large Language Models, GPT, Transformers, AI
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55
posts in
22.6
ms
harshuljain13/llm-inference-at-scale
: A Practitioner handbook for production
llm
serving.
💬
NLP
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.
The Neutral Mask: How
RLHF
Provides Shallow Alignment while Leaving Partisan Structure Intact in a
Large
Language
Model
🧠
LLM
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for The Neutral Mask: How RLHF Provides Shallow Alignment while Leaving Partisan Structure Intact in a Large Language Model
Fine-Tuning
vs.
RAG
vs. Prompting: the Definitive Decision Framework for 2026
🧠
Context Engineering
pub.towardsai.net
·
4h
4 hours ago
Actions for Fine-Tuning vs. RAG vs. Prompting: the Definitive Decision Framework for 2026
Meta-Attention
: Teaching
Models
When Not to Answer
💬
NLP
hackernoon.com
·
16h
16 hours ago
Actions for Meta-Attention: Teaching Models When Not to Answer
Introducing Granite Libraries and Project Granite Switch
💬
NLP
Content type:
Blog
research.ibm.com
·
6d
6 days ago
·
Hacker News
Actions for Introducing Granite Libraries and Project Granite Switch
google/gemma-4-12B-it-qat-q4_0-gguf
💬
NLP
huggingface.co
·
5d
5 days ago
Actions for google/gemma-4-12B-it-qat-q4_0-gguf
Causal Semantic Alignment for
LLM-based
Time Series Forecasting
💬
NLP
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Causal Semantic Alignment for LLM-based Time Series Forecasting
Measuring Embedding Drift: Why Hybrid Search Saves Stale
Models
.
🧠
Context Engineering
pub.towardsai.net
·
16h
16 hours ago
Actions for Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.
Stack Overflow didn't just help
AI
learn to code
✍️
Prompt Engineering
zozo123.github.io
·
3d
3 days ago
·
Hacker News
Actions for Stack Overflow didn't just help AI learn to code
A
Mechanistic
Analysis of Adversarial
Fine-tuning
of Vision Transformers
👁️
Multimodal AI
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for A Mechanistic Analysis of Adversarial Fine-tuning of Vision Transformers
How
LLMs
Work?
💬
NLP
pub.towardsai.net
·
16h
16 hours ago
Actions for How LLMs Work?
Dynamic Linear
Attention
💬
NLP
Content type:
Academic
arxiv.org
·
18h
18 hours ago
Actions for Dynamic Linear Attention
Multilingual Sentiment Aware Text Summarization A Reinforcement Learning Approach for Consistency Maintenance
🤝
Human-AI Collaboration
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for Multilingual Sentiment Aware Text Summarization A Reinforcement Learning Approach for Consistency Maintenance
Towards Tight Bounds for Streaming
Attention
🤖
Large Language Models
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Towards Tight Bounds for Streaming Attention
What Actually Happens When You Send a Prompt to
Claude
A Full Breakdown
🧠
LLM
pub.towardsai.net
·
5d
5 days ago
Actions for What Actually Happens When You Send a Prompt to Claude A Full Breakdown
A Regret Minimization Framework on Preference Learning in
Large
Language
Models
🤝
Human-AI Collaboration
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for A Regret Minimization Framework on Preference Learning in Large Language Models
When Vision Misleads, Let Location Speak: A Worldwide Image Geo-Localization Method via Location
Attention
Mechanism
and
Large
Multimodal Models
💬
NLP
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for When Vision Misleads, Let Location Speak: A Worldwide Image Geo-Localization Method via Location Attention Mechanism and Large Multimodal Models
Less-relevant results
Prompt Caching
💬
NLP
pub.towardsai.net
·
16h
16 hours ago
Actions for Prompt Caching
Query-based Cross-Modal Projector Bolstering Mamba Multimodal
LLM
💬
NLP
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Query-based Cross-Modal Projector Bolstering Mamba Multimodal LLM
Hidden Consensus:Preference-Validity Compression in Human Feedback
🤝
Human-AI Collaboration
Content type:
Academic
arxiv.org
·
18h
18 hours ago
Actions for Hidden Consensus:Preference-Validity Compression in Human Feedback
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