Symflower has recently introduced DevQualityEval, an innovative evaluation benchmark and framework designed to elevate the code quality generated by large…
Machine Learning
Federated learning enables collaborative model training by aggregating gradients from multiple clients, thus preserving their private data. However, gradient inversion…
The Generative Pre-trained Transformer (GPT) series, developed by OpenAI, has revolutionized the field of NLP with its groundbreaking advancements in…
Many developers and researchers working with large language models face the challenge of fine-tuning the models efficiently and effectively. Fine-tuning…
NVIDIA has recently introduced NV-Embed on Hugging Face, a revolutionary embedding model poised to redefine the landscape of NLP. This…
Large Language Models (LLMs) are stepping into clinical and medical fields as they grow in capability and versatility. These models…
Machine Translation (MT) is a significant field within Natural Language Processing (NLP) that focuses on automatically translating text from one…
Multimodal large language models (MLLMs) are cutting-edge innovations in artificial intelligence that combine the capabilities of language and vision models…
Large Language Models (LLMs) have advanced natural language processing tasks significantly. Recently, using LLMs for physical world planning tasks has…
In a recent study, a team of researchers from MIT introduced the linear representation hypothesis, which suggests that language models…
Proof assistants like Lean ensure high accuracy in mathematical proofs, addressing the growing complexity of modern mathematics that often leads…
LLMs demonstrate emergent intelligence with increased parameters, computes, and data, hinting at artificial general intelligence. Despite advancements, deployed LLMs still…
Financial analysis has always been crucial for interpreting market trends, predicting economic outcomes, and providing investment strategies. This field, traditionally…
The rapid growth of AI and complex neural networks drives the need for efficient hardware that suits power and resource…
Local image feature matching techniques help identify fine-grained visual similarities between two images. Although there is a lot of progress…
The popularity of AI is soaring, with businesses across industries harnessing its innovation potential. AWS is pivotal in this trend,…
Managing and deploying Retrieval-Augmented Generation (RAG) systems has recently become a significant challenge, especially when moving from experimental setups to…
Recently, Meta has been at the forefront of Open Source LLMs with its Llama series. Following the success of Llama…
The rapid growth of large language models (LLMs) has catalyzed the development of numerous NLP applications, such as chatbots, writing…
Large Language Models (LLMs) have driven remarkable advancements across various Natural Language Processing (NLP) tasks. These models excel in understanding…