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Collections including paper arxiv:2309.03852

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 99
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 23
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 21

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 4
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 30
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 12
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 24
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 17
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Paper • 2309.05516 • Published Sep 11, 2023 • 10
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs

Paper • 2309.03907 • Published May 18, 2023 • 12

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109

GPT Can Solve Mathematical Problems Without a Calculator

Paper • 2309.03241 • Published Sep 6, 2023 • 18
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute

Paper • 2309.11197 • Published Sep 20, 2023 • 5

One Wide Feedforward is All You Need

Paper • 2309.01826 • Published Sep 4, 2023 • 33
Gated recurrent neural networks discover attention

Paper • 2309.01775 • Published Sep 4, 2023 • 10
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Extending LLMs' Context Window with 100 Samples

Paper • 2401.07004 • Published Jan 13, 2024 • 16
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Paper • 2402.11550 • Published Feb 18, 2024 • 18
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Paper • 2401.07872 • Published Jan 15, 2024 • 2

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44

Training a large language model from scratch for 1$ on LambdaLabs

TheBirdLegacy/FreeLoaderLM

Text Generation • Updated Sep 9, 2023
CofeAI/FLM-101B

Text Generation • Updated Sep 18, 2023 • 4 • 92
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Composable Function-preserving Expansions for Transformer Architectures

Paper • 2308.06103 • Published Aug 11, 2023 • 20

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 99
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Paper • 1810.04805 • Published Oct 11, 2018 • 23
RoBERTa: A Robustly Optimized BERT Pretraining Approach

Paper • 1907.11692 • Published Jul 26, 2019 • 9
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Paper • 1910.01108 • Published Oct 2, 2019 • 21

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute

Paper • 2309.11197 • Published Sep 20, 2023 • 5

Research on LLM

When can transformers reason with abstract symbols?

Paper • 2310.09753 • Published Oct 15, 2023 • 4
In-Context Pretraining: Language Modeling Beyond Document Boundaries

Paper • 2310.10638 • Published Oct 16, 2023 • 30
Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model

Paper • 2310.09520 • Published Oct 14, 2023 • 12
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Paper • 2309.08532 • Published Sep 15, 2023 • 53

One Wide Feedforward is All You Need

Paper • 2309.01826 • Published Sep 4, 2023 • 33
Gated recurrent neural networks discover attention

Paper • 2309.01775 • Published Sep 4, 2023 • 10
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 24
Neurons in Large Language Models: Dead, N-gram, Positional

Paper • 2309.04827 • Published Sep 9, 2023 • 17
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Paper • 2309.05516 • Published Sep 11, 2023 • 10
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs

Paper • 2309.03907 • Published May 18, 2023 • 12

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Extending LLMs' Context Window with 100 Samples

Paper • 2401.07004 • Published Jan 13, 2024 • 16
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration

Paper • 2402.11550 • Published Feb 18, 2024 • 18
The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Paper • 2401.07872 • Published Jan 15, 2024 • 2

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109

FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44

GPT Can Solve Mathematical Problems Without a Calculator

Paper • 2309.03241 • Published Sep 6, 2023 • 18
Large Language Models as Optimizers

Paper • 2309.03409 • Published Sep 7, 2023 • 77
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44

Training a large language model from scratch for 1$ on LambdaLabs

TheBirdLegacy/FreeLoaderLM

Text Generation • Updated Sep 9, 2023
CofeAI/FLM-101B

Text Generation • Updated Sep 18, 2023 • 4 • 92
FLM-101B: An Open LLM and How to Train It with $100K Budget

Paper • 2309.03852 • Published Sep 7, 2023 • 44
Composable Function-preserving Expansions for Transformer Architectures

Paper • 2308.06103 • Published Aug 11, 2023 • 20

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