Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with […]
Category: Large Language Model
From Logic to Confusion: MIT Researchers Show How Simple Prompt Tweaks Derail LLM Reasoning
Large language models are increasingly used to solve math problems that mimic real-world reasoning tasks. These models are tested for […]
Reflection Begins in Pre-Training: Essential AI Researchers Demonstrate Early Emergence of Reflective Reasoning in LLMs Using Adversarial Datasets
What sets large language models (LLMs) apart from traditional methods is their emerging capacity to reflect—recognizing when something in their […]
Traditional RAG Frameworks Fall Short: Megagon Labs Introduces ‘Insight-RAG’, a Novel AI Method Enhancing Retrieval-Augmented Generation through Intermediate Insight Extraction
RAG frameworks have gained attention for their ability to enhance LLMs by integrating external knowledge sources, helping address limitations like […]
THUDM Releases GLM 4: A 32B Parameter Model Competing Head-to-Head with GPT-4o and DeepSeek-V3
In the rapidly evolving landscape of large language models (LLMs), researchers and organizations face significant challenges. These include enhancing reasoning […]
OpenAI releases GPT 4.1 models and Elon Musk should be terrified for Grok
OpenAI has just thrown a serious wrench into the AI landscape with the release of three new models: GPT-4.1, GPT-4.1 […]
Small Models, Big Impact: ServiceNow AI Releases Apriel-5B to Outperform Larger LLMs with Fewer Resources
As language models continue to grow in size and complexity, so do the resource requirements needed to train and deploy […]
LightPROF: A Lightweight AI Framework that Enables Small-Scale Language Models to Perform Complex Reasoning Over Knowledge Graphs (KGs) Using Structured Prompts
Large Language Models (LLMs) have revolutionized natural language processing, with abilities on complex zero-shot tasks through extensive training data and […]
Google AI Introduce the Articulate Medical Intelligence Explorer (AMIE): A Large Language Model Optimized for Diagnostic Reasoning, and Evaluate its Ability to Generate a Differential Diagnosis
Developing an accurate differential diagnosis (DDx) is a fundamental part of medical care, typically achieved through a step-by-step process that […]
Step by Step Coding Guide to Build a Neural Collaborative Filtering (NCF) Recommendation System with PyTorch
This tutorial will walk you through using PyTorch to implement a Neural Collaborative Filtering (NCF) recommendation system. NCF extends traditional […]