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 ...
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 ...
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 ...
marktechpost6d
Alibaba Researchers Propose VideoLLaMA 3: An Advanced Multimodal Foundation Model for Image and Video Understanding
Advancements in multimodal intelligence depend on processing and understanding images and videos. Images can reveal static scenes by providing information regarding details such as objects, text, and ...
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 ...
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 ...
marktechpost5d
HAC++: Revolutionizing 3D Gaussian Splatting Through Advanced Compression Techniques
Novel view synthesis has witnessed significant advancements recently, with Neural Radiance Fields (NeRF) pioneering 3D representation techniques through neural rendering. While NeRF introduced ...
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.
marktechpost5d
Qwen AI Releases Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M: Allowing Deployment with Context Length up to 1M Tokens
The advancements in large language models (LLMs) have significantly enhanced natural language processing (NLP), enabling capabilities like contextual understanding, code generation, and reasoning.
marktechpost7d
This AI Paper Introduces a Modular Blueprint and x1 Framework: Advancing Accessible and Scalable Reasoning Language Models (RLMs)
The design and deployment of modern RLMs pose a lot of challenges. They are expensive to develop, have proprietary restrictions, and have complex architectures that limit their access. Moreover, the ...
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 ...
marktechpost5d
Google DeepMind Introduces MONA: A Novel Machine Learning Framework to Mitigate Multi-Step Reward Hacking in Reinforcement Learning
Reinforcement learning (RL) focuses on enabling agents to learn optimal behaviors through reward-based training mechanisms. These methods have empowered systems to tackle increasingly complex tasks, ...