Analytics Vidhya
JUNE 29, 2024
Introduction Git is a powerful distributed version control system used by developers to manage source code changes. Branching, which enables the simultaneous development of different versions of a project, is one of its fundamental characteristics. This article will cover the definition of branches, the value of branching, the function of an upstream branch in Git, […] The post How to Set Upstream Branch in Git?
Unite.AI
JUNE 29, 2024
In a groundbreaking development , researchers have successfully bound engineered skin tissue to the complex forms of humanoid robots. This achievement is a significant leap forward in the field of biohybrid robotics, blending biology with mechanical engineering to create more lifelike and functional robotic systems. The breakthrough, led by Professor Shoji Takeuchi of the University of Tokyo, addresses a longstanding challenge in robotics: creating a seamless interface between artificial structu
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Marktechpost
JUNE 29, 2024
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 multiple authoritative sources.
Bugra Akyildiz
JUNE 29, 2024
This week, I will cover why I think data janitor work is dying and companies that are built in on top of data janitor work could be ripe for disruption through LLMs and what to do about it. A data janitor is a person who works to take big data and condense it into useful amounts of information. Also known as a "data wrangler", a data janitor sifts through data for companies in the information technology industry.
Speaker: Gary Dmitriev
Our upcoming webinar aims to demystify the process of selecting and implementing automation tools for financial institutes. This session will provide your roadmap for vetting potential solutions, focusing on due diligence, vendor assessments, and aligning technology with strategic goals. We’ll also address the critical issue of innovation fatigue, offering tips on maintaining enthusiasm and momentum for new initiatives.
Marktechpost
JUNE 29, 2024
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 language, enabling them to perform tasks that require understanding context, syntax, and
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
Marktechpost
JUNE 29, 2024
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.
Marktechpost
JUNE 29, 2024
Broadly neutralizing antibodies (bNAbs) are key in combating HIV-1. They target the virus’s envelope proteins and show promise in reducing viral loads and preventing infection. Despite their potential, identifying bNAbs remains labor-intensive, involving B-cell isolation and high-throughput next-generation sequencing. Only 255 bNAbs are known, and discovering new ones is challenging due to the virus’s rapid mutation and immune evasion mechanisms.
Marktechpost
JUNE 29, 2024
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.
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