BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Paper
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2211.05100
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Published
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28
LLM
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CsFEVER and CTKFacts: Acquiring Czech data for fact verification
Paper • 2201.11115 • Published -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 15 -
FinGPT: Large Generative Models for a Small Language
Paper • 2311.05640 • Published • 27 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 183 -
Jailbroken: How Does LLM Safety Training Fail?
Paper • 2307.02483 • Published • 13 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources
Paper • 2306.04751 • Published • 5 -
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Paper • 2101.00027 • Published • 6 -
LIMA: Less Is More for Alignment
Paper • 2305.11206 • Published • 21 -
An In-depth Look at Gemini's Language Abilities
Paper • 2312.11444 • Published • 1 -
Recursively Summarizing Books with Human Feedback
Paper • 2109.10862 • Published • 1 -
LLM360: Towards Fully Transparent Open-Source LLMs
Paper • 2312.06550 • Published • 56 -
Language Resources for Dutch Large Language Modelling
Paper • 2312.12852 • Published • 9 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Shai: A large language model for asset management
Paper • 2312.14203 • Published • 4 -
Mixtral of Experts
Paper • 2401.04088 • Published • 157 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models
Paper • 2402.10986 • Published • 76 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
SaulLM-7B: A pioneering Large Language Model for Law
Paper • 2403.03883 • Published • 74 -
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Paper • 2406.01574 • Published • 42