marktechpost3d
Qwen AI Releases Qwen2.5-VL: A Powerful Vision-Language Model for Seamless Computer Interaction
In the evolving landscape of artificial intelligence, integrating vision and language capabilities remains a complex challenge. Traditional models often struggle with tasks requiring a nuanced ...
marktechpost3d
A Comprehensive Guide to Concepts in Fine-Tuning of Large Language Models (LLMs)
With the current conversation about widespread LLMs in AI, it is crucial to understand some of the basics involved. Despite their general-purpose pretraining in developing LLMs, most require ...
marktechpost3d
InternVideo2.5: Hierarchical Token Compression and Task Preference Optimization for Video MLLMs
Multimodal large language models (MLLMs) have emerged as a promising approach towards artificial general intelligence, integrating diverse sensing signals into a unified framework. However, MLLMs face ...
marktechpost4d
DeepSeek-AI Releases Janus-Pro 7B: An Open-Source multimodal AI that Beats DALL-E 3 and Stable Diffusion
Multimodal AI integrates diverse data formats, such as text and images, to create systems capable of accurately understanding and generating content. By bridging textual and visual data, these models ...
marktechpost4d
Unlocking Autonomous Planning in LLMs: How AoT+ Overcomes Hallucinations and Cognitive Load
Large language models (LLMs) have shown remarkable abilities in language tasks and reasoning, but their capacity for autonomous planning—especially in complex, multi-step scenarios—remains limited.
marktechpost4d
Test-Time Preference Optimization: A Novel AI Framework that Optimizes LLM Outputs During Inference with an Iterative Textual Reward Policy
Large Language Models (LLMs) have become an indispensable part of contemporary life, shaping the future of nearly every conceivable domain. They are widely acknowledged for their impressive ...
marktechpost4d
Building a Retrieval-Augmented Generation (RAG) System with DeepSeek R1: A Step-by-Step Guide
With the release of DeepSeek R1, there is a buzz in the AI community. The open-source model offers some best-in-class performance across many metrics, even at par with state-of-the-art proprietary ...
marktechpost4d
Quantifying Knowledge Transfer: Evaluating Distillation in Large Language Models
Knowledge distillation, a crucial technique in artificial intelligence for transferring knowledge from large language models (LLMs) to smaller, resource-efficient ones, faces several significant ...
marktechpost4d
This AI Paper Introduces IXC-2.5-Reward: A Multi-Modal Reward Model for Enhanced LVLM Alignment and Performance
Artificial intelligence has grown significantly with the integration of vision and language, allowing systems to interpret and generate information across multiple data modalities. This capability ...
marktechpost4d
Leveraging Hallucinations in Large Language Models to Enhance Drug Discovery
Researchers have highlighted concerns regarding hallucinations in LLMs due to their generation of plausible but inaccurate or unrelated content. However, these ...
marktechpost4d
Advancing Single-Cell Genomics with Self-Supervised Learning: Techniques, Applications, and Insights
SSL is a powerful technique for extracting meaningful patterns from large, unlabelled datasets, proving transformative in fields like computer vision and NLP. In single-cell genomics (SCG), SSL offers ...
marktechpost5d
Meet Open R1: The Full Open Reproduction of DeepSeek-R1, Challenging the Status Quo of Existing Proprietary LLMs
Open Source LLM development is going through great change through fully reproducing and open-sourcing DeepSeek-R1, including training data, scripts, etc. Hosted on Hugging Face’s platform, this ...