💬 NLP - codenm.no2

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

💬LLMs Code

github.com··Hacker News

Large companies can add a local LLM filter layer to considerably reducing their AI costs

🧠LLM

umrashrf.github.io··Hacker News

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

🤖Large Language Models

aermia.com··Hacker News

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

💬LLMs

pub.towardsai.net

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

🧠LLM Academic

arxiv.org·

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

🤖Large Language Models Academic

arxiv.org·

How LLMs Work?

💬LLMs

pub.towardsai.net

LLM AI Chatbots are letting me down every single day

🧠LLM

umrashrf.github.io··Hacker News

What is Agentic RAG? Building Multi-Agent Agentic RAG Systems

🤖Large Language Models

pub.towardsai.net

A handy llama-server launcher with easy model and configuration customisation

🧠LLM Code

github.com··r/LocalLLaMA

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

🤖Large Language Models Academic

arxiv.org·

Causal Semantic Alignment for LLM-based Time Series Forecasting

💬LLMs Academic

arxiv.org·

john-rocky/apple-silicon-llm-bench: Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models

🧠LLM Code

github.com··Hacker News

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

🤖Large Language Models

pub.towardsai.net

SafeRun: Enabling Determinism in LLM Planning for Running

🧠LLM Academic

arxiv.org·

Phase transition in large language models and the criticality of natural languages

🧠LLM Academic

arxiv.org·

Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?

🤖Large Language Models

pub.towardsai.net

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

LangChain Series #2: Models Explained — LLMs, Chat Models, and Embeddings with Practical…

Report: GKE Inference Gateway delivers up to 92% faster AI responses

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

Large companies can add a local LLM filter layer to considerably reducing their AI costs

Research Proposal: Decoupled RISC-LLM Architectures via Circadian Synaptic Consolidation

Measuring Embedding Drift: Why Hybrid Search Saves Stale Models.

Auditing Training Data in Domain-adapted LLMs: LoRA-MINT

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

How LLMs Work?

LLM AI Chatbots are letting me down every single day

What is Agentic RAG? Building Multi-Agent Agentic RAG Systems

A handy llama-server launcher with easy model and configuration customisation

TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication

Causal Semantic Alignment for LLM-based Time Series Forecasting

john-rocky/apple-silicon-llm-bench: Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models

LangChain Explained: Understanding Models, Prompts, Chains, Memory, Indexes, and Agents

SafeRun: Enabling Determinism in LLM Planning for Running

Phase transition in large language models and the criticality of natural languages

Fine-tuning vs RAG vs MeMo: Where should LLM Knowledge Live?