The landscape of AI-driven information retrieval is rapidly evolving, with groundbreaking advancements that promise to outpace established giants like Gemini and ChatGPT. One such innovation is the LaVague framework by Mithril Security, a Large Action Model (LAM) set to revolutionize building and sharing AI Web Agents. LaVague offers a simplified yet powerful approach to creating… →

Text-to-speech (TTS) synthesis focuses on converting text into spoken words with a high degree of naturalness and intelligibility. This field intersects with natural language processing, speech signal processing, and machine learning. TTS technology has become integral in various applications such as virtual assistants, audiobooks, and accessibility tools, aiming to create systems that can generate speech… →

Artificial Intelligence (AI) alignment strategies are critical in ensuring the safety of Large Language Models (LLMs). These techniques often combine preference-based optimization techniques like Direct Preference Optimisation (DPO) and Reinforcement Learning with Human Feedback (RLHF) with supervised fine-tuning (SFT). By modifying the models to avoid interacting with hazardous inputs, these strategies seek to reduce the… →

Artificial intelligence (AI) is experiencing a paradigm shift, with breakthroughs driven by systems orchestrating multiple large language models (LLMs) and other complex components. This progression has highlighted the need for effective optimization methods for these compound AI systems, where automatic differentiation comes into play. Automatic differentiation has revolutionized the training of neural networks, and now… →

Deploying large language models (LLMs) on resource-constrained devices presents significant challenges due to their extensive parameters and reliance on dense multiplication operations. This results in high memory demands and latency bottlenecks, hindering their practical application in real-world scenarios. For instance, models like GPT-3 require immense computational resources, making them unsuitable for many edge and cloud… →

Developers spend much of their time and effort trying to make attractive products and websites. Users’ expectations have never been greater with all the available products and websites. Meet CodeParrot AI, an AI-powered startup with super cool AI tools designers and developers can use to make coding easier. The main purpose of this application is… →

Large Generative Models (LGMs) like GPT, Stable Diffusion, Sora, and Suno have recently made remarkable strides in creating creative and meaningful content, greatly boosting the efficiency of real-world applications. Unlike earlier models like Bert/Bart in Natural Language Processing (NLP) and Unet in Image Segmentation, which were trained on small datasets from specific areas and for… →

Generative AI has made remarkable progress in revolutionizing fields like image and video generation, driven by innovative algorithms, architectures, and data. However, the rapid proliferation of generative models has highlighted a critical gap: the absence of trustworthy evaluation metrics. Current automatic assessments such as FID, CLIP, and FVD often fail to capture the nuanced quality… →