Unite.AI

NOVEMBER 17, 2024

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. Until recently, the focus has been on increasing the size of models and the volume of training data, with little attention given to numerical precision—the number of bits used to represent numbers during computations. A recent study from researchers at Harvard, Stanford, and other institutions has upended this traditional perspective.

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AI Developer AI Development AI AI 162

Flipboard

NOVEMBER 17, 2024

Dr. Adam Rodman, an expert in internal medicine at Beth Israel Deaconess Medical Center in Boston, confidently expected that chatbots built to use artificial intelligence would help doctors diagnose illnesses. He was wrong. Instead, in a study Dr.

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Ehud Reiter

NOVEMBER 17, 2024

Over the past 6 months, I’ve given a number of seminars which were partially about problems I see in the rigour and reproducibility of NLP evaluations, and how I’d like this to be improved. I won’t go into detail here since I’ve discussed this topic in previous blogs ( Challenges in Evaluating LLMs , Common Flaws in NLP Evaluation Experiments , Unresponsive Authors and Experimental Flaws , A bad way to measure hallucination , etc); you can look at the PDF of my most recen

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NLP 120

Flipboard

NOVEMBER 17, 2024

In the wake of the U.S. 2024 presidential election, one fact became clear: Disinformation proliferated online at a startling rate, shaping Americans’ views about each candidate as well as a diverse set of topics, including public health, climate change, and immigration.

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Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

Towards AI

NOVEMBER 17, 2024

Last Updated on November 18, 2024 by Editorial Team Author(s): Nicolas MARTIN Originally published on Towards AI. Learning a language is often difficult and requires dozens of classes until reaching a reasonable level. Unfortunately, a lot of people in the world cannot afford to have quality classes. In addition, we can learn a language from books, but we don’t have feedback about our pronunciation or actual level.

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Chatbots ChatGPT AI AI 110

Marktechpost

NOVEMBER 17, 2024

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are particularly effective when dealing with complex datasets. The core principle behind SVM is to identify the optimal hyperplane that effectively separates data points into different classes while maximizing the margin between them.

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Algorithm Computer Vision Machine Learning Categorization 102

Flipboard

NOVEMBER 17, 2024

Meta's Llama AI model is being used by national defense agencies. Despite Meta's stance against military use, it now supports U.S. defense applications. This shift raises questions about AI regulation and the global AI arms race.

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AI Modeling AI AI Artificial Intelligence 175

Towards AI

NOVEMBER 17, 2024

Last Updated on November 17, 2024 by Editorial Team Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: [link] In the dynamic realm of artificial intelligence, multi-agent systems have emerged as a transformative approach for addressing complex tasks through collaboration and specialization.

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OpenAI Artificial Intelligence Artificial Intelligence AI 93

Flipboard

NOVEMBER 17, 2024

Links have been essential tools for navigating the web and sourcing information – but they are on the decline as tech companies try to keep audiences from clicking away.

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AI AI Artificial Intelligence Artificial Intelligence 173

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Artificial Lawyer

NOVEMBER 17, 2024

We often assume that even as genAI steadily takes on more ‘process level’ legal tasks, that the ceiling of complexity will keep rising to accommodate.

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Flipboard

NOVEMBER 17, 2024

Evo is a large language model that is not trained on words but on the genomes of millions of microbes. It can accurately predict the effects of mutations.

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Large Language Models AI Modeling AI AI 180

Marktechpost

NOVEMBER 17, 2024

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort.

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Deep Learning BERT Automation ML 94

Flipboard

NOVEMBER 17, 2024

I believe ChatGPT and other generative AI tools can help pretty much any business. With a low-cost subscription or even simply using free tools, advanced AI assistance that would have seemed the stuff of science fiction just a few short years ago is within reach of anyone.

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ChatGPT AI Tools Generative AI AI 160

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

AI

Towards AI

NOVEMBER 17, 2024

Author(s): Chinmay Bhalerao Originally published on Towards AI. This blog includes the tools that you can use to monitor and assess the performance of the Agentic approach This member-only story is on us. Upgrade to access all of Medium. Image created by author, Background image by Hollywood reporter Imagine a team of virtual assistants collaborating to handle customer support queries seamlessly.

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LLM AI AI Artificial Intelligence 85

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NOVEMBER 17, 2024

The traditional IT help desk, often the backbone of enterprise tech support, is facing a seismic shift as digital landscapes grow more complex and …

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Automation AI AI Artificial Intelligence 173

Marktechpost

NOVEMBER 17, 2024

Artificial intelligence systems often struggle with retaining meaningful context over extended interactions. This limitation poses challenges for applications such as chatbots and virtual assistants, where maintaining a coherent conversation thread is essential. Most traditional AI models operate in a stateless manner, focusing solely on immediate inputs without considering the continuity of prior exchanges.

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Python OpenAI AI AI 93

Flipboard

NOVEMBER 17, 2024

Gemini AI is coming to Google Home and Nest -- here's what it can do for your home security. Google has previously signaled its intention to bring its Gemini AI features to the Google Home app and its Nest smart home devices. Now we're seeing what that looks like.

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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Marktechpost

NOVEMBER 17, 2024

Self-supervised learning on offline datasets has permitted large models to reach remarkable capabilities both in text and image domains. Still, analogous generalizations for agents acting sequentially in decision-making problems are difficult to attain. The environments of classical Reinforcement Learning (RL) are mostly narrow and homogeneous and, consequently, hard to generalize.

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Robotics OpenAI ML AI 75

Flipboard

NOVEMBER 17, 2024

One of the strengths of podcasting is the close connection that listeners can feel to the host whose voice is in their head. But now, tools like Jellypod and NotebookLM are taking the human podcaster out of the equation and creating podcasts with AI.

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AI AI Artificial Intelligence Artificial Intelligence 148

Marktechpost

NOVEMBER 17, 2024

Modern language models have transformed our daily interactions with technology, offering tools that help draft emails, write articles, code software, and much more. However, these powerful models often come with significant limitations. Many language models today are hamstrung by overly cautious guardrails that restrict certain types of information or enforce a predetermined moral stance.

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AI AI AI Modeling ML 80

Flipboard

NOVEMBER 17, 2024

As you read this, new kinds of schools are being designed, launched and expanded. Many are utilizing the power of Artificial Intelligence. Take for example, Synthesis School and their AI-powered math tutor or Alpha School in Miami that uses AI to teach their children.

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Artificial Intelligence Artificial Intelligence AI AI 149

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After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

Marktechpost

NOVEMBER 17, 2024

Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse applications, but their widespread adoption faces significant challenges. The primary concern stems from training datasets that contain varied, unfocused, and potentially harmful content, including malicious code and cyberattack-related information. This creates a critical need to align LLM outputs with specific user requirements while preventing misuse.

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Large Language Models Algorithm Responsible AI LLM 68

Flipboard

NOVEMBER 17, 2024

Elon Musk's lawsuit against OpenAI has revealed a lot of juicy emails detailing the thoughts of the nonprofit's leadership.

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Marktechpost

NOVEMBER 17, 2024

Developments in simulating particulate flows have significantly impacted industries ranging from mining to pharmaceuticals. Particulate systems consist of granular materials interacting with each other and surrounding fluids, and their accurate modeling is critical for optimizing processes. However, traditional numerical methods like the Discrete Element Method (DEM) face substantial computational limitations.

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Deep Learning Machine Learning ML AI 79

Flipboard

NOVEMBER 17, 2024

An artificial intelligence (AI) tool has offered a possible bearish outlook for Bitcoin (BTC) in a worst-case scenario after the asset hit an …

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Artificial Intelligence Artificial Intelligence AI Tools AI 156

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Generative AI

TheSequence

NOVEMBER 17, 2024

Created Using DALL-E Next Week in The Sequence: Edge 448: Discusses into adversarial distillation including some research in that area. It also reviews the LMQL framework for querying LLMs. The Sequence Chat: Discusses the provocative topic of the data walls in generative AI. Edge 490: Dives into Anthropic’s crazy research about how LLMs can sabotage human evalautions.

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Large Language Models Python Generative AI Automation 59

Flipboard

NOVEMBER 17, 2024

Meta will make its generative artificial intelligence (AI) models available to the United States’ government, the tech giant has announced, in a controversial

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Artificial Intelligence Artificial Intelligence AI AI 145

Towards AI

NOVEMBER 17, 2024

Last Updated on November 18, 2024 by Editorial Team Author(s): Nicolas MARTIN Originally published on Towards AI. Learning a language is often difficult and requires dozens of classes until reaching a reasonable level. Unfortunately, a lot of people in the world cannot afford to have quality classes. In addition, we can learn a language from books, but we don’t have feedback about our pronunciation or actual level.

Chatbots 52

Chatbots ChatGPT AI AI 52