kaifahmad (Mohd Kaif)

upvoted a collection 1 day ago

LLM Compiler

Meta LLM Compiler is a state-of-the-art LLM that builds upon Code Llama with improved performance for code optimization and compiler reasoning. • 4 items • Updated 1 day ago • 97

upvoted 2 articles 4 days ago

Article

Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

5 days ago

• 106

Article

BM25 for Python: Achieving high performance while simplifying dependencies with BM25S⚡

By

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3 days ago

• 22

upvoted an article 18 days ago

Article

quanto: a pytorch quantization toolkit

Mar 18

• 21

upvoted an article 20 days ago

Article

Accelerating Document AI

Nov 21, 2022

• 14

upvoted 8 articles about 1 month ago

Article

A Complete Guide to Audio Datasets

Dec 15, 2022

• 7

Article

Mixture of Experts Explained

Dec 11, 2023

• 96

Article

PaliGemma – Google's Cutting-Edge Open Vision Language Model

May 14

• 156

Article

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Mar 20

• 31

Article

Unlocking Longer Generation with Key-Value Cache Quantization

May 16

• 17

Article

Synthetic data: save money, time and carbon with open source

Feb 16

• 32

Article

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval

Mar 22

• 43

Article

Let's talk about LLM evaluation

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May 23

• 92

upvoted a collection about 1 month ago

Granite Code Models

Collection

A series of code models trained by IBM licensed under Apache 2.0 license. We release both the base pretrained and instruct models. • 20 items • Updated about 7 hours ago • 145

upvoted an article about 1 month ago

Article

Illustrating Reinforcement Learning from Human Feedback (RLHF)

Dec 9, 2022

• 43

upvoted 2 articles about 2 months ago

Article

License to Call: Introducing Transformers Agents 2.0

May 13

• 98

Article

Hugging Face x LangChain : A new partner package in LangChain

May 14

• 83

upvoted 3 collections about 2 months ago

upvoted a paper 4 months ago

A Survey on Evaluation of Large Language Models

Paper • 2307.03109 • Published Jul 6, 2023 • 38

upvoted a collection 6 months ago

Long context

Collection

80 items • Updated 11 days ago • 24

Mohd Kaif

AI & ML interests

Organizations

kaifahmad's activity

LLM Compiler

Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

BM25 for Python: Achieving high performance while simplifying dependencies with BM25S⚡

quanto: a pytorch quantization toolkit

Accelerating Document AI

A Complete Guide to Audio Datasets

Mixture of Experts Explained

PaliGemma – Google's Cutting-Edge Open Vision Language Model

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Unlocking Longer Generation with Key-Value Cache Quantization

Synthetic data: save money, time and carbon with open source

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval

Let's talk about LLM evaluation

Granite Code Models

Illustrating Reinforcement Learning from Human Feedback (RLHF)

License to Call: Introducing Transformers Agents 2.0

Hugging Face x LangChain : A new partner package in LangChain

Awesome Document AI

Computer Vision Backbones 🧩

Multimodal

A Survey on Evaluation of Large Language Models

Long context

Mohd Kaif

AI & ML interests

Organizations

kaifahmad's activity

Fine-tuning Florence-2 - Microsoft's Cutting-edge Vision Language Models

BM25 for Python: Achieving high performance while simplifying dependencies with *BM25S*⚡

quanto: a pytorch quantization toolkit

Accelerating Document AI

A Complete Guide to Audio Datasets

Mixture of Experts Explained

PaliGemma – Google's Cutting-Edge Open Vision Language Model

Cosmopedia: how to create large-scale synthetic data for pre-training Large Language Models

Unlocking Longer Generation with Key-Value Cache Quantization

Synthetic data: save money, time and carbon with open source

Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval

Let's talk about LLM evaluation

Illustrating Reinforcement Learning from Human Feedback (RLHF)

License to Call: Introducing Transformers Agents 2.0

Hugging Face x LangChain : A new partner package in LangChain

BM25 for Python: Achieving high performance while simplifying dependencies with BM25S⚡