Analytics Vidhya
OCTOBER 20, 2024
Looking to enhance the performance of your agent-based systems? One of the most effective strategies is to structure both the inputs and intermediate outputs shared between agents. In this article, we’ll explore how to organize inputs, manage placeholders for passing data, and structure outputs to ensure that each agent delivers the desired results.
IBM Journey to AI blog
OCTOBER 20, 2024
IBM today announced new advances in AI technology that continue to make it easier for businesses to transform with choice, openness and trust. Most notable is the launch of powerful new Granite models, which outperform or match the performance of similarly sized models from leading model providers. We also introduced the next generation of watsonx Code Assistant for general purpose coding and debuted new tools for building and deploying AI applications and agents, all designed with specific ente
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Artificial Lawyer
OCTOBER 20, 2024
Suril Patel, who was a partner at Allen & Overy before joining genAI pioneer Harvey as VP of Partnerships has now joined elite firm Kirkland & Ellis.
Marktechpost
OCTOBER 20, 2024
Vision-Language-Action Models (VLA) for robotics are trained by combining large language models with vision encoders and then fine-tuning them on various robot datasets; this allows generalization to new instructions, unseen objects, and distribution shifts. However, various real-world robot datasets mostly require human control, which makes scaling difficult.
Speaker: Kevin Burke
AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.
Ehud Reiter
OCTOBER 20, 2024
I’m preparing supporting material for my new book on NLG , and I realised while doing this that I’ve written very little about a very important real-world NLG issue, which is software maintenance of NLG systems (bug fixes, adapting to new data sources, supporting changing user needs, etc). I have written some thoughts about this below, there will be more in the book.
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IBM Journey to AI blog
OCTOBER 20, 2024
Three years ago, Australia, the UK and the US launched AUKUS, a trilateral security partnership to enhance stability in the Indo-Pacific and beyond. AUKUS is organized around two key pillars: supporting the Royal Australian Navy with nuclear-powered submarines and advancing military technology, such as AI (artificial intelligence), quantum computing and cybersecurity.
Marktechpost
OCTOBER 20, 2024
Large language models (LLMs) have revolutionized the field of artificial intelligence by performing a wide range of tasks across different domains. These models are expected to work seamlessly in multiple languages, solving complex problems while ensuring safety. However, the challenge lies in maintaining safety without compromising performance, especially in multilingual settings.
Robot Writers AI
OCTOBER 20, 2024
One of the easiest ways to edit text in ChatGPT — once you have a draft that works for you — is to use the AI’s new onboard editor, Canvas. A godsend to writers and editors, Canvas comes equipped with a number of handy tools that enable you to make quick, surgical and artful changes to any text. But easily the most powerful tool of the lot is Canvas’ ‘highlight-and-change’ feature.
Marktechpost
OCTOBER 20, 2024
Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. This technology significantly enhances productivity, enabling developers to write code faster and with fewer errors. Despite the promise of LLMs, many models struggle with balancing speed and accuracy.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.
Machine Learning Research at Apple
OCTOBER 20, 2024
The growing demand for personalized and private on-device applications highlights the importance of source-free unsupervised domain adaptation (SFDA) methods, especially for time-series data, where individual differences produce large domain shifts. As sensor-embedded mobile devices become ubiquitous, optimizing SFDA methods for parameter utilization and data-sample efficiency in time-series contexts becomes crucial.
Marktechpost
OCTOBER 20, 2024
The discovery of new materials is crucial to addressing pressing global challenges such as climate change and advancements in next-generation computing. However, existing computational and experimental approaches face significant limitations in efficiently exploring the vast chemical space. While AI has emerged as a powerful tool for materials discovery, the lack of publicly available data and open, pre-trained models has become a major bottleneck.
Pickl AI
OCTOBER 20, 2024
Summary: Learning Artificial Intelligence involves mastering Python programming, understanding Machine Learning principles, and engaging in practical projects. This structured approach prepares you for a successful career in the rapidly growing AI field. Introduction Artificial Intelligence (AI) is transforming industries worldwide, with applications in healthcare, finance, and technology.
Marktechpost
OCTOBER 20, 2024
One of the most critical challenges of LLMs is how to align these models with human values and preferences, especially in generated texts. Most generated text outputs by models are inaccurate, biased, or potentially harmful—for example, hallucinations. This misalignment limits the potential usage of LLMs in real-world applications across domains such as education, health, and customer support.
Speaker: Carolyn Clark and Miriam Connaughton
Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.
Bugra Akyildiz
OCTOBER 20, 2024
Articles Alibaba announced their Foundation Model series(QWEN) in the following blog post. This is the model versioned 2.5 and it brings the following improvements upon Qwen2: Significantly more knowledge and has greatly improved capabilities in coding and mathematics , thanks to our specialized expert models in these domains. Significant improvements in instruction following , generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs
Marktechpost
OCTOBER 20, 2024
The growing reliance on large language models for coding support poses a significant problem: how best to assess real-world impact on programmer productivity? Current approaches, such as static bench-marking based on datasets such as HumanEval, measure the correctness of the code but cannot capture the dynamic, human-in-the-loop interaction of real programming activity.
TheSequence
OCTOBER 20, 2024
Created Using Ideogram Next Week in The Sequence: You can subscribe to The Sequence below: Edge 441: We are closing our series about SSMs with an exploration of SSMs for non-language modalities. We discuss Meta AI’s research about SSMs for speech recognition and dive into the Llama-Factory framework. Edge 442: We dive into DeepMind’s fascinating AlphaProteo model for protein design.
Marktechpost
OCTOBER 20, 2024
In the rapidly evolving world of AI, challenges related to scalability, performance, and accessibility remain central to the efforts of research communities and open-source advocates. Issues such as the computational demands of large-scale models, the lack of diverse model sizes for different use cases, and the need to balance accuracy with efficiency are critical obstacles.
Speaker: Joe Stephens, J.D., Attorney and Law Professor
Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.
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