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Dynamic language understanding: adaptation to new knowledge in parametric and semi-parametric models

OpenAIDecember 29, 2023233Views 0Likes 0Comments

Many recent successes in language models (LMs) have been achieved within a ‘static paradigm’, where the focus is on improving performance on the benchmarks that are created without considering the temporal aspect of data. For instance, answering questions on events that the model could learn about during training, or evaluating on text sub-sampled from the…

How I Won Singapore’s GPT-4 Prompt Engineering Competition | by Sheila Teo | Dec, 2023

Data ScienceDecember 29, 2023382Views 0Likes 0Comments

A deep dive into the strategies I learned for harnessing the power of Large Language Models Celebrating a milestone — The real win was the priceless learning experience!Last month, I had the incredible honor of winning Singapore’s first ever GPT-4 Prompt Engineering competition, which brought together over 400 prompt-ly brilliant participants, organised by the Government…

25 Free Books to Master SQL, Python, Data Science, Machine Learning, and Natural Language Processing

Data AnalyticsDecember 28, 2023226Views 0Likes 0Comments

Image by Author Learning the essential skills like SQL, Python, data science, machine learning, and natural language processing can open up exciting career opportunities. However, courses and books on these topics can be expensive. The good news is that free resources are available online to help you master these skills. Online books provide…

Researchers from Meta GenAI Introduce Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis Artificial Intelligence Framework

AI NewsDecember 28, 2023196Views 0Likes 0Comments

Artificial intelligence has recently been used in all spheres of life. Likewise, it is being used for video generation and video editing. AI has opened up new possibilities for creativity, enabling seamless content generation and manipulation. However, video editing remains challenging due to the intricate nature of maintaining temporal coherence between individual frames. The Traditional…

Kyrgyzstan to King’s Cross: the star baker cooking up code

OpenAIDecember 28, 2023194Views 0Likes 0Comments

Life at DeepMind Published …

Getting Started with Multimodality | by Valentina Alto | Dec, 2023

Data ScienceDecember 28, 2023223Views 0Likes 0Comments

Image created with Microsoft DesignerUnderstanding vision capabilities of Large Multimodal Models The recent advances in Generative AI have enabled the development of Large Multimodal Models (LMMs) that can process and generate different types of data, such as text, images, audio, and video. LMMs share with “standard” Large Language Models (LLMs) the capability of generalization and…

6 Compelling Ways Leveraging AI Can Boost Business Performance

IoTDecember 28, 2023268Views 0Likes 0Comments

In today’s fast-paced business landscape, Artificial Intelligence (AI) is no longer a mere buzzword but a pivotal tool driving innovation and efficiency. AI fundamentally represents a branch of computer science dedicated to developing smart machines capable of executing tasks that generally demand human intelligence, encompassing activities such as learning, problem-solving, and making decisions.…

This AI Paper Unveils InternVL: Bridging the Gap in Multi-Modal AGI with a 6 Billion Parameter Vision-Language Foundation Mode

AI NewsDecember 28, 2023238Views 0Likes 0Comments

The seamless integration of vision and language has been a focal point of recent advancements in AI. The field has seen significant progress with the advent of LLMs. Yet, developing vision and vision-language foundation models essential for multimodal AGI systems still need to catch up. This gap has led to the creation of a groundbreaking…

Evaluating Multimodal Interactive Agents – Google DeepMind

OpenAIDecember 28, 2023230Views 0Likes 0Comments

To train agents to interact well with humans, we need to be able to measure progress. But human interaction is complex and measuring progress is difficult. In this work we developed a method, called the Standardised Test Suite (STS), for evaluating agents in temporally extended, multi-modal interactions. We examined interactions that consist of human participants…

Courage to Learn ML: An In-Depth Guide to the Most Common Loss Functions | by Amy Ma | Dec, 2023

Data ScienceDecember 28, 2023273Views 0Likes 0Comments

MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions Photo by William Warby on UnsplashWelcome back! In the ‘Courage to Learn ML’ series, where we conquer machine learning fears one challenge at a time. Today, we’re diving headfirst into the world of loss functions: the silent superheroes guiding our models…