Google AI researchers have developed a new Transformer network dubbed TransformerFAM, aimed to enhance performance in handling extremely long context tasks. Despite Transformers proving revolutionary in the domain of deep learning, they have limitations due to their quadratic attention complexity— an aspect that curtails their ability to process infinitely long inputs. Existing Transformers often forget…
The increasing demand for AI-generated content following the development of innovative generative Artificial Intelligence models like ChatGPT, GEMINI, and BARD has amplified the need for high-quality text-to-audio, text-to-image, and text-to-video models. Recently, supervised fine-tuning-based direct preference optimisation (DPO) has become a prevalent alternative to traditional reinforcement learning methods in lining up Large Language Model (LLM)…
Tango 2: The Emerging Frontier in Text-to-Audio Synthesis and Its Outstanding Performance Indicators
As demand for AI-generated content continues to increase, particularly in the multimedia realm, the need for high-quality, quick production models for text-to-audio, text-to-image, and text-to-video conversions has never been greater. An emphasis is placed on enhancing the realistic nature of these models in regard to their input prompts.
A novel approach to adjust Large Language Model…
Meta Research has developed an open-source interactive cutting-edge toolkit called the Large Language Model Transparency Tool (LLM-TT) designed to analyze Transformer-based language models. This ground-breaking tool allows inspection of the key facets of the input-to-output data flow and the contributions of individual attention heads and neurons. It utilizes TransformerLens hooks which make it compatible with…
In our increasingly digital world, processing and understanding online content accurately and efficiently is becoming more crucial, especially for language processing systems. However, data extraction from web pages tends to produce cluttered and complicated data, posing a challenge to developers and users of language learning models looking for streamlined content for improved performance.
Previously, tools have…
Amazon Web Services (AWS) has announced a significant update to its Amazon Bedrock service with the integration of the Claude 3 series from Anthropic. This new partnership marks a considerable expansion of the Bedrock service's AI capabilities, which now offers Anthropic's three Claude 3 models, Opus, Sonnet, and Haiku, as a managed service for customers.…
Digital media has ushered in the requirement for precision in the generation and control of images and videos. This need led to the development of systems like ControlNets, which allow explicit manipulation of visual content using various conditions such as depth maps, canny edges, and human poses. Nonetheless, integration of these technologies with new models…
California-based artificial intelligence startup Reka is setting new industry standards with its latest product, the Reka Core. The new model demonstrates the startup's dedication to innovation and epitomizes their advancements in AI technology. The Reka Core is multifaceted, capable of processing and understanding text, images, video, and audio which makes it stand out in the…
In the highly competitive field of AI development, company Zyphra has announced a significant breakthrough with a new model called Zamba-7B. This compact model contains 7 billion parameters, but it competes favorably with larger models that are more resource-intensive. Key to the success of the Zamba-7B is a novel architectural design that improves both performance…
The transition of Reinforcement Learning (RL) from theory to real-world application has been hampered by sample inefficiency, especially in risky exploration environments. The challenges include a distribution shift between the target policy and the collected data, resulting in overestimation bias and an overly optimistic target policy. A new method proposed by researchers from Oxford University,…