Mohnish Neelapu: Innovator Advancing The Field Of Software Testing Through Large Language Model, Powered Automation

Among such innovators leading this change, Automation Lead Mohnish Neelapu stands at the forefront of the movement to ...
IEEE

Steer Your Model: Secure Code Generation with Contrastive Decoding

Abstract: Large Language Models (LLMs) specialized in code have demonstrated impressive capabilities in various programming tasks such as code generation. However, these models often generate ...
GitHub

Speed up model training by fixing data loading

Speeding up model training involves more than kernel tuning. Data loading frequently slows down training, because datasets are too large to fit on disk, consist of millions of small files, or stream ...
GitHub

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Thanks to AWQ, TinyChat can deliver more efficient responses with LLM/VLM chatbots through 4-bit inference. TinyChat on RTX 4090 (3.4x faster than FP16): TinyChat on Jetson Orin (3.2x faster than FP16 ...