Large language models (LLMs) have become fundamental tools in natural language processing, significantly advancing tasks such as translation, summarization, and creative text generation. Their ability to generate coherent and contextually relevant text based on human instructions makes them valuable across various applications. These models leverage vast amounts of data to learn patterns and relationships in…
In the AI world, a new startup has emerged with the potential to reshape multilingual models, particularly in underserved regions. Two AI has launched SUTRA, a language model designed to be proficient in over 30 languages, including many South Asian languages such as Gujarati, Marathi, Tamil, and Telugu. This strategic move positions Two AI to…
Hugging Face has announced the release of Transformers version 4.42, which brings many new features and enhancements to the popular machine-learning library. This release introduces several advanced models, supports new tools and retrieval-augmented generation (RAG), offers GGUF fine-tuning, and incorporates a quantized KV cache, among other improvements. With Transformers version 4.42, this release of new…
Artificial Intelligence (AI) systems are rigorously tested before they are released to determine whether they can be used for dangerous activities like bioterrorism, manipulation, or automated cybercrimes. This is especially crucial for powerful AI systems, as they are programmed to reject commands that can negatively affect them. Conversely, less powerful open-source models frequently have weaker…
In the contemporary landscape of scientific research, the transformative potential of AI has become increasingly evident. This is particularly true when applying scalable AI systems to high-performance computing (HPC) platforms. This exploration of scalable AI for science underscores the necessity of integrating large-scale computational resources with vast datasets to address complex scientific challenges. The success…
Reinforcement learning from human feedback (RLHF) encourages generations to have high rewards, using a reward model trained on human preferences to align large language models (LLMs). However, RLHF has several unresolved issues. First, the fine-tuning process is often limited to small datasets, causing the model to become too specialized and miss the wide range of…
Accelerating Drug Discovery with AI: The Role of AlphaFold in Targeting Liver Cancer: AI is significantly transforming the field of drug discovery, offering new ways to design and synthesize medicines more efficiently. A notable example is AlphaFold, an AI program developed by DeepMind, which has made groundbreaking advancements in predicting the three-dimensional structures of proteins.…
Prompt engineering is crucial to leveraging ChatGPT’s capabilities, enabling users to elicit relevant, accurate, high-quality responses from the model. As language models like ChatGPT become more sophisticated, mastering the art of crafting effective prompts has become essential. This comprehensive overview delves into prompt engineering principles, techniques, and best practices, providing a detailed understanding drawn from…
Humans are versatile; they can quickly apply what they’ve learned from little examples to larger contexts by combining new and old information. Not only can they foresee possible setbacks and determine what is important for success, but they swiftly learn to adjust to different situations by practicing and receiving feedback on what works. This process…
The field of research focuses on enhancing large multimodal models (LMMs) to process and understand extremely long video sequences. Video sequences offer valuable temporal information, but current LMMs need help to understand exceptionally long videos. This issue stems from the sheer volume of visual tokens generated by the vision encoders, making it challenging for existing…