marktechpost3d
Mistral AI Unveils Codestral 25.01: A New SOTA Lightweight and fast Coding AI Model
In today’s fast-paced world of software development, artificial intelligence plays a crucial role in simplifying workflows, speeding up coding tasks, and ensuring quality. But despite its promise, ...
marktechpost4d
R3GAN: A Simplified and Stable Baseline for Generative Adversarial Networks GANs
GANs are often criticized for being difficult to train, with their architectures relying heavily on empirical tricks. Despite their ability to generate high-quality images in a single forward pass, ...
marktechpost4d
What are Small Language Models (SLMs)?
Large language models (LLMs) like GPT-4, PaLM, Bard, and Copilot have made a huge impact in natural language processing (NLP). They can generate text, solve problems, and carry out conversations with ...
marktechpost3d
Apple Researchers Introduce Instruction-Following Pruning (IFPruning): A Dynamic AI Approach to Efficient and Scalable LLM Optimization
Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. Such models often require large-scale computational ...
marktechpost4d
Meta AI Introduces CLUE (Constitutional MLLM JUdgE): An AI Framework Designed to Address the Shortcomings of Traditional Image Safety Systems
The rapid growth of digital platforms has brought image safety into sharp focus. Harmful imagery—ranging from explicit content to depictions of violence—poses significant challenges for content ...
marktechpost4d
Salesforce AI Introduces TACO: A New Family of Multimodal Action Models that Combine Reasoning with Real-World Actions to Solve Complex Visual Tasks
Developing effective multi-modal AI systems for real-world applications requires handling diverse tasks such as fine-grained recognition, visual grounding, reasoning, and multi-step problem-solving.
marktechpost5d
What are Large Language Model (LLMs)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to handle tasks like translating languages, generating ...
marktechpost3d
InfiGUIAgent: A Novel Multimodal Generalist GUI Agent with Native Reasoning and Reflection
Developing Graphical User Interface (GUI) Agents faces two key challenges that hinder their effectiveness. First, existing agents lack robust reasoning capabilities, relying primarily on single-step ...
marktechpost5d
RAG-Check: A Novel AI Framework for Hallucination Detection in Multi-Modal Retrieval-Augmented Generation Systems
Large Language Models (LLMs) have revolutionized generative AI, showing remarkable capabilities in producing human-like responses. However, these models face a critical challenge known as ...
marktechpost6d
Google AI Just Released TimesFM-2.0 (JAX and Pytorch) on Hugging Face with a Significant Boost in Accuracy and Maximum Context Length
Time-series forecasting plays a crucial role in various domains, including finance, healthcare, and climate science. However, achieving accurate predictions remains a significant challenge.
marktechpost5d
SepLLM: A Practical AI Approach to Efficient Sparse Attention in Large Language Models
Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. However, their efficiency is often ...
marktechpost6d
Introducing Parlant: The Open-Source Framework for Reliable AI Agents
If you have ever designed and implemented an LLM Model-based chatbot in production, you have encountered the frustration of agents failing to execute tasks reliably. These systems often lack ...