Google's Mirasol3B is a multimodal autoregressive model that can learn and understand across audio, video, and text modalities. It is a significant advancement in AI research, as it represents a new approach to multimodal learning that is more integrated and efficient than previous methods. Mirasol3B is based on a new type of transformer architecture called the Combiner transformer . The Combiner transformer allows the model to process different modalities in a more synchronized way , which improves its overall performance. Mirasol3B is still under development , but it has already shown promising results on a number of benchmarks. For example, it has significantly outperformed previous state-of-the-art models on the task of video captioning. Mirasol3B is a valuable addition to the toolkit of researchers working on multimodal understanding, and it is likely to have a significant impact on the field. Mastering Multimodal Complexity The intricate dance of multimodal machine learning u

In the ever-evolving realm of language models, a critical discourse surrounds the security intricacies of Large Language Models (LLMs), illuminating both the potential perils and groundbreaking prospects. This report dissects the multifaceted landscape of LLM security concerns, delving into the sophisticated jailbreak techniques that exploit these models and forecasting the seismic impact LLMs are poised to make on our technological future. Security Symphonies and Jailbreak Crescendos Prompt-level Ingenuity Prompt-level jailbreaks, employing semantic deception and social engineering, showcase a nuanced dance with language. By coercing LLMs to generate content with unintended consequences, these techniques leverage the model's innate understanding of language. The interpretability comes at a cost, requiring heightened human effort for design and execution. Token-level Mastery On the flip side, token-level jailbreaks unravel a different saga. Through the manipulation of outputs via t

In the realm of artificial intelligence, Large Language Models (LLMs) stand as powerful tools that harness the potential of neural networks to predict the next word in a sequence based on previous words. These statistical marvels are trained on massive volumes of text data, empowering them to undertake diverse tasks such as machine translation, text summarization, and the creation of interactive chatbots. Decoding the Inner Workings of LLMs At the core of LLMs lies the intricate design of neural networks, drawing inspiration from the human brain. Composed of layers of interconnected neurons, these networks embark on a training process that involves exposing the LLM to extensive text data, teaching it the art of predicting the next word in a given sequence. The training journey unfolds as the LLM is presented with text data one word at a time. It endeavours to forecast the subsequent word in the sequence, earning rewards for accurate predictions and facing consequences for inaccuracies.

India has witnessed a remarkable transformation in the computing landscape, driven by the growth of the IT services industry, Digital India initiatives, and the recent surge in technology startups. This has positioned the country at a pivotal juncture, where it can harness its deep scientific expertise and technological prowess to achieve nation-scale advancements. To explore this exciting opportunity, IBM Research India hosted the Science for Scale summit on April 13, 2023, bringing together thought leaders from academia, industry, and government. The summit focused on identifying the key enablers and requirements for creating a virtuous cycle between the worlds of science and scale in India. Key Takeaways from the Science for Scale Summit Preparing for the Next AI Revolution:  India, with its vast and diverse population, holds immense potential to benefit from the transformative power of generative AI. To fully reap the benefits of this emerging technology, India needs to invest in c

In a significant step towards democratizing artificial intelligence, OpenAI has introduced a groundbreaking feature called GPTs, enabling developers and users to create their own customized versions of ChatGPT, OpenAI's popular large language model. This revolutionary feature empowers individuals to tailor AI to their specific needs and interests, fostering a new era of personalized AI solutions. GPTs are essentially specialized versions of ChatGPT, trained on specific datasets and tailored to address particular tasks or domains. They can be customized for a wide range of applications, from assisting with everyday tasks to developing educational tools and crafting creative content. The creation of GPTs doesn't require coding expertise, making the process accessible to a broader audience. OpenAI provides a user-friendly interface that guides users through the process of selecting relevant datasets, defining parameters, and training the model. Once a GPT is created, it can be sha

Mahisha Dasara is an alternative celebration of the Hindu festival of Dasara that is antithetical to the narrative that Mahishasura was a demon. The celebration is held in coastal Karnataka's Udupi district, and it has been celebrated in various forms in coastal Karnataka for a long time. Mahishasura is worshipped in Barkur, where there is a shrine dedicated to him, and a Brahmin priest offers daily puja to him. A three-day festival called 'sedi utsava' is celebrated to honour the daiva. The celebration of Mahisha Dasara has touched a nerve among Hindutva supporters in coastal Karnataka as Mahishasura is commonly portrayed as a demon in Hindu mythology. The opposition to the alternative celebration has come from the right-wing organizations Vishwa Hindu Parishad (VHP) and Bajrang Dal. Mahishasura, according to Hindu mythology, was once a ruler of the land now known as Mysuru, and he was considered a demon due to his alleged wrongdoings. The mythological story behind Karnata