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Advanced Concepts in LLM Development: Practical Tips & Implementation Insights

Advanced Concepts in LLM Development: Practical Tips & Implementation Insights

Reversible Layers in Transformers: Memory-Efficient Deep Learning

Reversible Layers in Transformers: Memory-Efficient Deep Learning

In-Context Learning: The Hidden Superpower of Large Language Models

February 20, 2024

In-Context Learning: The Hidden Superpower of Large Language Models

Sparse Attention in Transformers: Scaling Sequence Modeling Beyond Brute Force

February 5, 2024

Sparse Attention in Transformers: Scaling Sequence Modeling Beyond Brute Force

Proxy Tuning: A Lightweight Decoding-Time Tuning Method for Large Language Models

January 30, 2024

Proxy Tuning: A Lightweight Decoding-Time Tuning Method for Large Language Models

FunSearch: Harnessing LLM Creativity Through Evaluation Loops

January 23, 2024

FunSearch: Harnessing LLM Creativity Through Evaluation Loops

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Recent Posts

Kimi K2: Engineering a Trillion‑Parameter Sparse MoE for Practical Agentic Intelligence
KV Cache Steering: A One‑Shot Route to Reasoning in Small LLMs
RLPR — Scaling Reinforcement Learning for LLM Reasoning Beyond Verifiers
Text‑to‑LoRA: Zero‑Friction Adaptation for LLMs
Magistral – Scaling Reasoning with Efficient GRPO Training

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