marktechpost5d
Compositional Hardness in Large Language Models (LLMs): A Probabilistic Approach to Code Generation
A popular method when employing Large Language Models (LLMs) for complicated analytical tasks, such as code generation, is to attempt to solve the full problem within the model’s context window. The ...
marktechpost5d
AI-Assisted Causal Inference: Using LLMs to Revolutionize Instrumental Variable Selection
Endogeneity presents a significant challenge in conducting causal inference in observational settings. Researchers in social sciences, statistics, and related fields have developed various ...
marktechpost5d
Optimizing Long-Context Processing with Role-RL: A Reinforcement Learning Framework for Efficient Large Language Model Deployment
Training Large Language Models (LLMs) that can handle long-context processing is still a difficult task because of data sparsity constraints, implementation complexity, and training efficiency.
marktechpost5d
Compositional GSM: A New AI Benchmark for Evaluating Large Language Models’ Reasoning Capabilities in Multi-Step Problems
Natural language processing (NLP) has experienced rapid advancements, with large language models (LLMs) being used to tackle various challenging problems. Among the diverse applications of LLMs, ...
marktechpost6d
Meta AI Unveils MovieGen: A Series of New Advanced Media Foundation AI Models
Meta AI research team has introduced MovieGen, a suite of state-of-the-art (SotA) media foundation models that are set to revolutionize how we generate and interact with media content. This super cool ...
marktechpost6d
GemFilter: A Novel AI Approach to Accelerate LLM Inference and Reduce Memory Consumption for Long Context Inputs
Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, ...
marktechpost6d
15 Transformative Use Cases of ChatGPT for Banks
ChatGPT, a sophisticated language model developed by OpenAI, is revolutionizing the banking industry by providing a diverse array of applications that enhance customer service, streamline internal ...
marktechpost6d
MinerU: An Open-Source PDF Data Extraction Tool
Extracting structured data from unstructured sources like PDFs, webpages, and e-books is a significant challenge. Unstructured data is common in many fields, and manually extracting relevant details ...
marktechpost6d
Google Releases Gemma-2-JPN: A 2B AI Model Fine-Tuned on Japanese Text
Google has launched the “gemma-2-2b-jpn-it” model, a new addition to its Gemma family of language models. The model is designed to cater specifically to the Japanese language and showcases the company ...
marktechpost6d
EMOVA: A Novel Omni-Modal LLM for Seamless Integration of Vision, Language, and Speech
Omni-modal large language models (LLMs) are at the forefront of artificial intelligence research, seeking to unify multiple data modalities such as vision, language, and speech. The primary goal is to ...
marktechpost6d
FactAlign: A Novel Alignment AI Framework Designed to Enhance the Factuality of LLMs’ Long-Form Responses While Maintaining Their Helpfulness
LLMs show great promise as advanced information access engines thanks to their ability to generate long-form, natural language responses. Their large-scale pre-training on vast datasets allows them to ...
marktechpost6d
OpenAI’s ChatGPT Canvas Tutorial and Use Cases: Coding Customization and Visualizing Tesla Stock Data
OpenAI’s ChatGPT Canvas is an AI-powered workspace that integrates ChatGPT to assist coders and writers in real-time by providing intelligent suggestions, code completions, and content enhancements ...