marktechpost6d
SlideGar: A Novel AI Approach to Use LLMs in Retrieval Reranking, Solving the Challenge of Bound Recall
Out of the various methods employed in document search systems, “retrieve and rank” has gained quite some popularity. Using this method, the results of a retrieval model are re-ordered according to a ...
marktechpost6d
What are Haystack Agents? A Comprehensive Guide to Tool-Driven NLP with Code Implementation
Modern NLP applications often demand multi-step reasoning, interaction with external tools, and the ability to adapt dynamically to user queries. Haystack Agents, an innovative feature of the Haystack ...
marktechpost4d
Plurai Introduces IntellAgent: An Open-Source Multi-Agent Framework to Evaluate Complex Conversational AI System
Evaluating conversational AI systems powered by large language models (LLMs) presents a critical challenge in artificial intelligence. These systems must handle multi-turn dialogues, integrate ...
marktechpost4d
Mobile-Agent-E: A Hierarchical Multi-Agent Framework Combining Cognitive Science and AI to Redefine Complex Task Handling on Smartphones
Smartphones are essential tools in dAIly life. However, the complexity of tasks on mobile devices often leads to frustration and inefficiency. Navigating applications and managing multi-step processes ...
marktechpost4d
Advancing Protein Science with Large Language Models: From Sequence Understanding to Drug Discovery
Proteins, essential macromolecules for biological processes like metabolism and immune response, follow the sequence-structure-function paradigm, where amino acid sequences determine 3D structures and ...
marktechpost5d
Beyond Open Source AI: How Bagel’s Cryptographic Architecture, Bakery Platform, and ZKLoRA Drive Sustainable AI Monetization
Now, let’s look into their latest research on ZKLoRA. In this research, the Bagel Research Team focuses on enabling efficient and secure verification of Low-Rank Adaptation (LoRA) updates for LLMs in ...
marktechpost4d
Align-Pro: A Cost-Effective Alternative to RLHF for LLM Alignment
Aligning large language models (LLMs) with human values is essential as these models become central to various societal functions. A significant challenge arises when model parameters cannot be ...
marktechpost5d
Meet EvaByte: An Open-Source 6.5B State-of-the-Art Tokenizer-Free Language Model Powered by EVA
Tokenization, the process of breaking text into smaller units, has long been a fundamental step in natural language processing (NLP). However, it presents several challenges. Tokenizer-based language ...
marktechpost6d
Snowflake AI Research Open-Sources SwiftKV: A Novel AI Approach that Reduces Inference Costs of Meta Llama LLMs up to 75% on Cortex AI
Large Language Models (LLMs) have become pivotal in artificial intelligence, powering a variety of applications from chatbots to content generation tools. However, their deployment at scale presents ...
marktechpost5d
Introducing GS-LoRA++: A Novel Approach to Machine Unlearning for Vision Tasks
Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a ...
marktechpost5d
Google DeepMind Introduces Mind Evolution: Enhancing Natural Language Planning with Evolutionary Search in Large Language Models
It can significantly enhance LLMs’ problem-solving capabilities by guiding them to think more deeply about complex problems and effectively utilize inference-time computation. Prior research has ...
marktechpost6d
Enhancing Lexicon-Based Text Embeddings with Large Language Models
Lexicon-based embeddings are one of the good alternatives to dense embeddings, yet they face numerous challenges that restrain their wider adoption. One key problem is tokenization redundancy, whereby ...