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Attention Is All You Need - Summary
|
Rohit Agarwal |
2023-04-14 |
248 |
--
|
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CAMEL: Communicative Agents for "Mind" Exploration of LLMs - Summary
|
Rohit Agarwal |
2023-04-14 |
352 |
--
|
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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts - Summary
|
Rohit Agarwal |
2023-04-15 |
250 |
--
|
|
Self-Consistency Improves Chain of Thought Reasoning in Language Models - Summary
|
Rohit Agarwal |
2023-04-15 |
301 |
--
|
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models - Summary
|
Rohit Agarwal |
2023-04-15 |
332 |
--
|
|
The Power of Scale for Parameter-Efficient Prompt Tuning - Summary
|
Rohit Agarwal |
2023-04-15 |
357 |
--
|
|
Large Language Models Are Human-Level Prompt Engineers - Summary
|
Rohit Agarwal |
2023-04-15 |
256 |
--
|
|
GPT Understands, Too - Summary
|
Rohit Agarwal |
2023-04-15 |
244 |
--
|
|
LoRA: Low-Rank Adaptation of Large Language Models - Summary
|
Rohit Agarwal |
2023-04-15 |
271 |
--
|
|
Expressive Text-to-Image Generation with Rich Text - Summary
|
Rohit Agarwal |
2023-04-15 |
264 |
--
|
|
Training language models to follow instructions with human feedback - Summary
|
Rohit Agarwal |
2023-04-15 |
249 |
--
|
|
Language Models are Few-Shot Learners - Summary
|
Rohit Agarwal |
2023-04-15 |
230 |
--
|
|
SegGPT: Segmenting Everything In Context - Summary
|
The Quill |
2023-04-16 |
247 |
--
|
|
Generative Agents: Interactive Simulacra of Human Behavior - Summary
|
The Quill |
2023-04-16 |
197 |
--
|
|
Segment Everything Everywhere All at Once - Summary
|
The Quill |
2023-04-16 |
201 |
--
|
|
Generative Agents: Interactive Simulacra of Human Behavior - Summary
|
The Quill |
2023-04-16 |
283 |
--
|
|
Eight Things to Know about Large Language Models - Summary
|
The Quill |
2023-04-16 |
132 |
--
|
|
A Survey of Large Language Models - Summary
|
The Quill |
2023-04-16 |
274 |
--
|
|
Instruction Tuning with GPT-4 - Summary
|
The Quill |
2023-04-16 |
241 |
--
|
|
⭐️ Ranking LLMs with Elo Ratings
|
Rohit Agarwal |
2023-04-18 |
1,231 |
--
|
|
Sparks of Artificial General Intelligence: Early experiments with GPT-4 - Summary
|
The Quill |
2023-04-20 |
398 |
--
|
|
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models - Summary
|
The Quill |
2023-04-20 |
528 |
--
|
|
MiLMo:Minority Multilingual Pre-trained Language Model - Summary
|
The Quill |
2023-04-20 |
200 |
--
|
|
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace - Summary
|
The Quill |
2023-04-20 |
197 |
--
|
|
Just Tell Me: Prompt Engineering in Business Process Management - Summary
|
The Quill |
2023-04-22 |
210 |
--
|
|
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning - Summary
|
The Quill |
2023-04-27 |
319 |
--
|
|
ReAct: Synergizing Reasoning and Acting in Language Models - Summary
|
The Quill |
2023-04-27 |
267 |
--
|
|
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head - Summary
|
The Quill |
2023-05-06 |
325 |
--
|
|
Scaling Transformer to 1M tokens and beyond with RMT - Summary
|
The Quill |
2023-05-07 |
233 |
--
|
|
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes - Summary
|
The Quill |
2023-05-07 |
237 |
--
|
|
We're Afraid Language Models Aren't Modeling Ambiguity - Summary
|
The Quill |
2023-05-07 |
225 |
--
|
|
Discovering Language Model Behaviors with Model-Written Evaluations - Summary
|
The Quill |
2023-05-08 |
415 |
--
|
|
⭐️ Decoding OpenAI Evals
|
Rohit Agarwal |
2023-05-10 |
2,316 |
1
|
|
Boosted Prompt Ensembles for Large Language Models -Summary
|
The Quill |
2023-05-17 |
375 |
--
|
|
SLiC-HF: Sequence Likelihood Calibration with Human Feedback - Summary
|
The Quill |
2023-05-21 |
222 |
--
|
|
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations - Summary
|
The Quill |
2023-06-02 |
221 |
--
|
|
Are We Really Making Much Progress in Text Classification? A Comparative Review - Summary
|
The Quill |
2023-06-09 |
239 |
--
|
|
Towards Reasoning in Large Language Models: A Survey - Summary
|
The Quill |
2023-06-09 |
248 |
--
|
|
Dive into what is LLMOps
|
Vrushank Vyas |
2023-07-01 |
6,444 |
--
|
|
The Confidence Checklist for LLMs in Production
|
Vrushank Vyas |
2023-07-01 |
51 |
--
|
|
⭐ Semantic Cache for Large Language Models
|
Vrushank Vyas |
2023-07-11 |
1,711 |
1
|
|
⭐ Building Reliable LLM Apps: 5 Things To Know
|
Rohit Agarwal |
2023-08-01 |
1,159 |
--
|
|
⭐️ Analyze your LLM calls - 2.0
|
Rohit Agarwal |
2023-08-07 |
621 |
7
|
|
My Journey with AI-Driven Development: From Curiosity to Necessity
|
Ayush |
2023-08-18 |
602 |
1
|
|
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding - Summary
|
The Quill |
2023-08-21 |
174 |
--
|
|
🌖 Announcing $3M Seed Round to Bring LLMs to Production
|
Rohit Agarwal |
2023-08-23 |
1,096 |
--
|
|
How to differentiate your AI product - Jasper style!
|
The Quill |
2023-09-20 |
439 |
--
|
|
⭐️ Getting Started with Llama 2
|
Rohit Agarwal |
2023-09-26 |
1,773 |
--
|
|
LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models - Summary
|
The Quill |
2023-10-14 |
230 |
--
|
|
GPT-4 is Getting Faster 🐇
|
Vrushank Vyas |
2023-10-16 |
257 |
3
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