Marktechpost

OCTOBER 18, 2024

One of the critical problems faced by AI researchers is that many current methods for enhancing LLM reasoning capabilities rely heavily on human intervention. In response to these limitations, researchers from Salesforce AI Research introduced a novel method called ReGenesis.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

JUNE 8, 2023

For the ever-growing challenge of LLM validation, ReLM provides a competitive and generalized starting point. ReLM is the first solution that allows practitioners to directly measure LLM behavior over collections too vast to enumerate by describing a query as the whole set of test patterns.

Large Language Models 109

Large Language Models LLM Inference Engine AI 109

Marktechpost

OCTOBER 18, 2024

The lack of effective evaluation methods poses a serious problem for AI research and development. Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 109

Large Language Models LLM AI Developer AI Development 109

Marktechpost

OCTOBER 21, 2024

However, despite their success, LLMs often need help in mathematical reasoning, especially when solving complex problems requiring logical, step-by-step thinking. This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics.

Large Language Models 113

Large Language Models Inference Engine AI AI 113

Marktechpost

OCTOBER 21, 2024

A team of researchers from Microsoft Responsible AI Research and Johns Hopkins University proposed Controllable Safety Alignment (CoSA) , a framework for efficient inference-time adaptation to diverse safety requirements. The adapted strategy first produces an LLM that is easily controllable for safety.

Large Language Models 104

Large Language Models Inference Engine LLM AI 104

Unite.AI

JUNE 21, 2024

Accelerating LLM Inference with NVIDIA TensorRT While GPUs have been instrumental in training LLMs, efficient inference is equally crucial for deploying these models in production environments. Accelerating LLM Training with GPUs and CUDA. 122 ~/local 1 Verify the installation: ~/local/cuda-12.2/bin/nvcc

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Marktechpost

OCTOBER 18, 2024

These barriers limit reproducibility, increase development time, and make experimentation challenging, particularly for academia and smaller research institutions. Addressing these issues requires a lightweight, flexible, and efficient approach that reduces friction in LLM research. Check out the GitHub and Details.

LLM 113

LLM NLP Inference Engine Large Language Models 113

Marktechpost

SEPTEMBER 1, 2023

Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 117

Large Language Models Inference Engine LLM Automation 117

Marktechpost

AUGUST 25, 2023

Addressing this efficiency gap head-on, Deci, a pioneering AI company, introduces DeciCoder, a 1-billion-parameter open-source Large Language Model (LLM) that aims to redefine the gold standard in efficient and accurate code generation. All Credit For This Research Goes To the Researchers on This Project.

Large Language Models 98

Large Language Models Inference Engine LLM Automation 98

Unite.AI

APRIL 24, 2024

Lin Qiao, was formerly head of Meta's PyTorch and is the Co-Founder and CEO of Fireworks AI. Fireworks AI is a production AI platform that is built for developers, Fireworks partners with the world's leading generative AI researchers to serve the best models, at the fastest speeds.

AI 130

AI AI OpenAI Inference Engine 130

AI Impacts

OCTOBER 28, 2024

Overview The competition attracted 90 entries in total (only one of which was obviously just the work of an LLM!), BS’s comments This entry identifies some LLM wisdom-relevant skills that could plausibly be improved with suitable datasets using existing methods. taking a wide variety of angles on the topic.

Automation 162

Automation Explainability AI AI 162