Analytics Vidhya

MAY 2, 2024

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

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Large Language Models LLM Generative AI AI 332

Unite.AI

MAY 2, 2024

Artificial intelligence (AI) has become a fundamental component of modern society, reshaping everything from daily tasks to complex sectors such as healthcare and global communications. As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy. This escalation not only heightens carbon emissions and generates more electronic waste but also adds to economic pressures through increased operational costs.

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Neural Network AI AI Artificial Intelligence 326

Analytics Vidhya

MAY 2, 2024

Can you imagine a car race without any drivers? Well, it’s no longer imagination, but a reality now! That’s right, the world witnessed the first-ever professional autonomous car race over the weekend. The Abu Dhabi Autonomous Racing League (A2RL) held at Yas Marina marked a significant leap in the motor racing world. With autonomous cars […] The post World’s First Autonomous Car Race Held at Abu Dhabi’s Yas Marina appeared first on Analytics Vidhya.

Artificial Intelligence 323

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Unite.AI

MAY 2, 2024

The sheer volume of video evidence available for investigative teams has reached unprecedented levels. According to the Bureau of Justice Assistance , approximately 80% of crimes involve some form of video evidence, and this trend shows no signs of slowing down. Various sources contribute to this influx of video evidence, ranging from security cameras and traffic footage to body cameras, dashcams, and handheld devices.

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Big Data Automation Natural Language Processing Algorithm 173

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

Analytics Vidhya

MAY 2, 2024

Introduction Right choice of appropriate datasets is essential in today’s data-driven environment to facilitate well-informed decision-making and uncover insightful information. It might be intimidating to navigate the enormous amount of data that is available, though. This article examines how the dataset selection process can be streamlined by using ChatGPT.

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Analytics Vidhya

MAY 2, 2024

Introduction In the age of advanced technology, GeoSpy.AI emerges as an AI powered intel platform that utilizes the power of geospatial vision large language models (LLMs) to predict locations from photos. Whether it’s a snapshot of a suburban street, a rural landscape, or a city corner, GeoSpy.AI can pinpoint the coordinates of the location within […] The post Explore the World through your Photos with GeoSpy.AI appeared first on Analytics Vidhya.

Large Language Models 310

Large Language Models AI AI AI Tools 310

Marktechpost

MAY 2, 2024

Iterative preference optimization methods have shown efficacy in general instruction tuning tasks but yield limited improvements in reasoning tasks. These methods, utilizing preference optimization, enhance language model alignment with human requirements compared to sole supervised fine-tuning. Offline techniques like DPO are gaining popularity due to their simplicity and efficiency.

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Analytics Vidhya

MAY 2, 2024

Introduction It’s not Tuesday, but it’s still a Hanooman’s day. Finally, the SML-powered Hanooman GPT is here! India now has its own indigenous alternative to OpenAI’s viral ChatGPT model. Hanooman GPT is a series of open-source Indic large language models developed by the Indian Institute of Technology (IIT) Bombay in partnership with healthcare AI firm […] The post Meet India’s ChatGPT Rival – Hanooman GPT is Here!

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ChatGPT Large Language Models OpenAI AI 310

Marktechpost

MAY 2, 2024

Natural language processing (NLP) focuses on enabling computers to understand and generate human language, making interactions more intuitive and efficient. Recent developments in this field have significantly impacted machine translation, chatbots, and automated text analysis. The need for machines to comprehend large amounts of text and provide accurate responses has led to the development of advanced language models that continuously push the boundaries of machine understanding.

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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

Analytics Vidhya

MAY 2, 2024

Introduction Welcome to the world of text embeddings where text is converted into numbers! This world has recently been turned around by the distillation of large language models (LLMs) into efficient and compact forms. Google’s latest innovation, Gecko, is the lastest advancement in this technology, revolutionizing the way we handle textual data.

Large Language Models 308

Large Language Models NLP Artificial Intelligence Artificial Intelligence 308

Marktechpost

MAY 2, 2024

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering processes by training AI to understand binaries and provide English descriptions. This is important because binaries can be challenging to comprehend due to their complexity and lack of transparency.

Neural Network 120

Neural Network Machine Learning Large Language Models Automation 120

Analytics Vidhya

MAY 2, 2024

San Francisco-based AI company Anthropic is making waves with the launch of its first smartphone app, bringing Claude to mobiles. This move positions Anthropic as a serious contender in the AI game, going head-to-head with industry giants like OpenAI and Google. The new iPhone app caters to both free and paid Claude users. It seamlessly […] The post AI on the Go: Anthropic Launches Claude Mobile App appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

MAY 2, 2024

Today, we’re excited to announce the availability of Meta Llama 3 inference on AWS Trainium and AWS Inferentia based instances in Amazon SageMaker JumpStart. The Meta Llama 3 models are a collection of pre-trained and fine-tuned generative text models. Amazon Elastic Compute Cloud (Amazon EC2) Trn1 and Inf2 instances, powered by AWS Trainium and AWS Inferentia2, provide the most cost-effective way to deploy Llama 3 models on AWS.

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ML Python Large Language Models Software Development 129

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

Analytics Vidhya

MAY 2, 2024

This is exciting news for language enthusiasts and AI users worldwide! Gemini Upgrade is here! On April 30, 2024, the Gemini mobile app received a major update that expanded its reach and accessibility worldwide. This update breaks down language barriers, making Gemini an international AI experience. The Gemini app is now available in various languages, […] The post Gemini Upgrade 2024: Focus on Boosting Power and Accessibility appeared first on Analytics Vidhya.

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AWS Machine Learning Blog

MAY 2, 2024

Embeddings are integral to various natural language processing (NLP) applications, and their quality is crucial for optimal performance. They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant passages from a corpus to provide context for language models to generate informed, knowledge-grounded responses.

Machine Learning 126

Machine Learning NLP Natural Language Processing ML 126

Analytics Vidhya

MAY 2, 2024

Introduction Large Language Models have revolutionized productivity by enabling tasks like Q&A, dynamic code generation, and agentic systems. However, pre-trained vanilla models are often biased and can produce harmful content. To improve performance, algorithms like Reinforcement Learning with Human Feedback and Direct Preference Optimization (DPO) can be used.

Large Language Models 302

Large Language Models Algorithm Generative AI Python 302

Marktechpost

MAY 2, 2024

The development of natural language processing has been significantly propelled by the advancements in large language models (LLMs). These models have showcased remarkable performance in tasks like translation, question answering, and text summarization, proving their efficiency in generating high-quality text. However, despite their effectiveness, one major limitation remains their slow inference speed, which hinders their use in real-time applications.

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Large Language Models Natural Language Processing LLM AI 116

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

Analytics Vidhya

MAY 2, 2024

Ukraine has embarked on a pioneering venture by introducing the world’s first ‘AI diplomat’. The country has developed an artificial intelligence (AI) generated spokesperson to be the face and voice of their Ministry of Foreign Affairs. The AI, named Victoria Shi, has been launched to announce updates on various fronts, on behalf of the Ukrainian […] The post Meet Victoria Shi, the World’s First AI-Generated Foreign Minister appeared first on Analytics Vidhya.

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Marktechpost

MAY 2, 2024

In the age of digital transformation, data is the new gold. Businesses are increasingly reliant on data for strategic decision-making, but this dependency brings significant challenges, particularly when it comes to collaborating with external partners. The traditional methods of sharing data often entail transferring sensitive information to third parties, significantly increasing the risk of security breaches and privacy concerns.

AI 115

AI AI 115

Analytics Vidhya

MAY 2, 2024

Hey there, AI fans! Meta, along with Cerebral Valley and SHACK15, is throwing a YOU-DON’T-WANNA-MISS event for you – the Meta Llama 3 Hackathon on May 11th and 12th! It’s your chance to build amazing apps using Meta’s newest and coolest large language model, Llama 3. In this event you will dive into the latest […] The post Announcement: Meta’s Llama 3 Hackathon Offers $10k+ in Prizes appeared first on Analytics Vidhya.

Large Language Models 273

Large Language Models AI AI 273

AWS Machine Learning Blog

MAY 2, 2024

Personalized customer experiences are essential for engaging today’s users. However, delivering truly personalized experiences that adapt to changes in user behavior can be both challenging and time-consuming. Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise.

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Metadata Software Engineer Large Language Models Machine Learning 116

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Artificial Lawyer

MAY 2, 2024

Is legal tech a good subject for a novel? Is the arrival of genAI in the legal world going to be more of a revolution than an evolution? Who is speaking at Legal Innovators California?

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AWS Machine Learning Blog

MAY 2, 2024

As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. With great power comes responsibility, and organizations want to make sure that these LLMs produce responses that align with their organizational values and provide the same unique experience they always intended for their end-customers.

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LLM Auto-complete Auto-classification Artificial Intelligence 111

Marktechpost

MAY 2, 2024

Recent advancements in econometric modeling and hypothesis testing have witnessed a paradigm shift towards integrating machine learning techniques. While strides have been made in estimating econometric models of human behavior, more research still needs to be conducted on effectively generating and rigorously testing these models. Researchers from MIT and Harvard introduce a novel approach to address this gap: merging automated hypothesis generation with in silico hypothesis testing.

Automation 92

Automation LLM Large Language Models AI 92

Explosion

MAY 2, 2024

During her presentation at QCon London, Ines Montani stated that economies of scale are not enough to create monopolies in the AI space and that open-source techniques and models will allow everybody to keep up with the “Gen AI revolution”.

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AI AI 96

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

Artificial Lawyer

MAY 2, 2024

CLM pioneer Agiloft has launched a genAI Prompt Lab, plus enhanced ConvoAI capabilities for doc review. Andy Wishart, CPO at the US-based company, told Artificial.

AI 103

AI AI 103

databricks

MAY 2, 2024

Unlock the power of advanced sports analytics with Databricks Marketplace and Delta Sharing. Discover how these platforms are transforming the sports industry by enabling seamless data access, collaboration, and real-time insights. Leverage a diverse array of data assets to optimize performance, enhance fan engagement, and gain a competitive edge. Explore the future of sports analytics, powered by Databricks.

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Machine Learning Research at Apple

MAY 2, 2024

Conformal prediction (CP) for regression can be challenging, especially when the output distribution is heteroscedastic, multimodal, or skewed. Some of the issues can be addressed by estimating a distribution over the output, but in reality, such approaches can be sensitive to estimation error and yield unstable intervals. Here, we circumvent the challenges by converting regression to a classification problem and then use CP for classification to obtain CP sets for regression.

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