Brain-computer interfaces (BCIs) have seen significant progress in recent years, offering communication solutions for individuals with speech or motor impairments.…
Machine Learning
Large language models (LLMs) are the foundation for multi-agent systems, allowing multiple AI agents to collaborate, communicate, and solve problems.…
Efficient long-context inference with LLMs requires managing substantial GPU memory due to the high storage demands of key-value (KV) caching.…
Diffusion models generate images by progressively refining noise into structured representations. However, the computational cost associated with these models remains…
Real-time speech translation presents a complex challenge, requiring seamless integration of speech recognition, machine translation, and text-to-speech synthesis. Traditional cascaded…
Code generation models have made remarkable progress through increased computational power and improved training data quality. State-of-the-art models like Code-Llama,…
Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning…
In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced…
Time series forecasting presents a fundamental challenge due to its intrinsic non-determinism, making it difficult to predict future values accurately.…
As deep learning models continue to grow, the quantization of machine learning models becomes essential, and the need for effective…
Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity…
Reinforcement learning (RL) for large language models (LLMs) has traditionally relied on outcome-based rewards, which provide feedback only on the…
After the success of large language models (LLMs), the current research extends beyond text-based understanding to multimodal reasoning tasks. These…
The integration of visual and textual data in artificial intelligence presents a complex challenge. Traditional models often struggle to interpret…
As language models grow ever larger, so do their vocabularies. This has shifted the memory footprint of LLMs during training…
As children increasingly consume media on devices, parents look for ways this usage can support learning and growth, especially in…
Databases are essential for storing and retrieving structured data supporting business intelligence, research, and enterprise applications. Querying databases typically requires…
Untold Studios is a tech-driven, leading creative studio specializing in high-end visual effects and animation. Our commitment to innovation led…
This is a guest post co-written with Tim Krause, Lead MLOps Architect at CONXAI. CONXAI Technology GmbH is pioneering the…
Whether you’re a small or medium-sized business (SMB) or a managed service provider at the beginning of your cloud journey,…