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LLM
🤖 LLM
Specific
Large Language Models, GPT, Claude, ChatGPT, Transformers
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Causal Semantic Alignment for
LLM-based
Time Series Forecasting
🤖
AI
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Causal Semantic Alignment for LLM-based Time Series Forecasting
A retrieval conditioned rebinding circuit for dynamic entity tracking in
large
language
models
✍️
Prompt Engineering
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for A retrieval conditioned rebinding circuit for dynamic entity tracking in large language models
Alvaro-Manzo/promptshift
:
Model-aware
prompt adapter for
Claude
— translate any prompt to GPT, Gemini, Mistral, Llama and more
✍️
Prompt Engineering
Content type:
Code
github.com
·
3d
3 days ago
·
r/PromptEngineering
Actions for Alvaro-Manzo/promptshift: Model-aware prompt adapter for Claude — translate any prompt to GPT, Gemini, Mistral, Llama and more
Hallucination Cascade: Analyzing Error Propagation in Multi-Agent
LLM
Systems
🤖
AI Agents
Content type:
Academic
arxiv.org
·
2d
2 days ago
Actions for Hallucination Cascade: Analyzing Error Propagation in Multi-Agent LLM Systems
SLUUG Talk: Demystifying
Large
Language
Models
on Linux
🤖
AI
Content type:
Code
github.com
·
4d
4 days ago
·
DEV
Actions for SLUUG Talk: Demystifying Large Language Models on Linux
LLMCodec: Adapting Video Codecs for Efficient Weight Compression of
Large
Language
Models
📱
Edge AI
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for LLMCodec: Adapting Video Codecs for Efficient Weight Compression of Large Language Models
Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for
Large
Language
Models
📱
Edge AI
Content type:
Academic
arxiv.org
·
6d
6 days ago
Actions for Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models
Empirical Evaluation of
Large
Language
Models
for Migration of Code Fragments to Post-Quantum Cryptography
✍️
Prompt Engineering
Content type:
Academic
arxiv.org
·
3d
3 days ago
Actions for Empirical Evaluation of Large Language Models for Migration of Code Fragments to Post-Quantum Cryptography
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