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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.
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.
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.
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.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
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.
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.
Multi-layer perceptrons (MLPs), or fully-connected feedforward neural networks, are fundamental in deep learning, serving as default models for approximating nonlinear functions. Despite their importance affirmed by the universal approximation theorem, they possess drawbacks. In applications like transformers, MLPs often monopolize parameters and lack interpretability compared to attention layers.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
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.
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!
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.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
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.
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.
Speaker: Alexa Acosta, Director of Growth Marketing & B2B Marketing Leader
Marketing is evolving at breakneck speed—new tools, AI-driven automation, and changing buyer behaviors are rewriting the playbook. With so many trends competing for attention, how do you cut through the noise and focus on what truly moves the needle? In this webinar, industry expert Alexa Acosta will break down the most impactful marketing trends shaping the industry today and how to turn them into real, revenue-generating strategies.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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