Sat.Mar 02, 2024 - Fri.Mar 08, 2024

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Getting Started with Groq API: The Fastest Ever Inference Endpoint

Analytics Vidhya

Introduction Real-time AI systems rely heavily on fast inference. Inference APIs from industry leaders like OpenAI, Google, and Azure enable rapid decision-making. Groq’s Language Processing Unit (LPU) technology is a standout solution, enhancing AI processing efficiency. This article delves into Groq’s innovative technology, its impact on AI inference speeds, and how to leverage it using […] The post Getting Started with Groq API: The Fastest Ever Inference Endpoint appeared f

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Could We Achieve AGI Within 5 Years? NVIDIA’s CEO Jensen Huang Believes It’s Possible

Unite.AI

In the dynamic field of artificial intelligence, the quest for Artificial General Intelligence (AGI) represents a pinnacle of innovation, promising to redefine the interplay between technology and human intellect. Jensen Huang, CEO of NVIDIA, a trailblazer in AI technology, recently brought this topic to the forefront of technological discourse. During a forum at Stanford University, Huang posited that AGI might be realized within the next five years, a projection that hinges critically on the d

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Salesforce Research Introduces AgentOhana: A Comprehensive Agent Data Collection and Training Pipeline for Large Language Model

Marktechpost

Integrating Large Language Models (LLMs) in autonomous agents promises to revolutionize how we approach complex tasks, from conversational AI to code generation. A significant challenge lies at the core of advancing independent agents: data’s vast and varied nature. Diverse sources bring forth a plethora of formats, complicating the task of training agents efficiently and effectively.

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SpaceX Starship, Explained: What You Need to Know About Elon Musk's Biggest Project of Them All

Extreme Tech

The Falcon 9 was the first rocket to perfect propulsive landing, but to reach distant, exotic locales like Mars and the outer planets, you need something with a little more oomph. That's the SpaceX Starship.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Google Apologizes Over Gemini’s ‘Unreliable’ Response on PM Narendra Modi

Analytics Vidhya

Introduction In a surprising turn of events, tech giant Google apologizes to India over the controversial results generated by its AI platform, Gemini, about Prime Minister Narendra Modi. The apology came after GOI sought to explain the AI’s questionable output. The reliability of the AI platform has been called into question, leading to a public […] The post Google Apologizes Over Gemini’s ‘Unreliable’ Response on PM Narendra Modi appeared first on Analytics Vidhya

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Google DeepMind Introduces Tandem Transformers for Inference Efficient Large Language Models LLMs

Marktechpost

Very large language models (LLMs) continue to face major computational cost barriers, which prevents their broad deployment, even with inference optimization approaches that have advanced significantly. Sequentially producing tokens throughout the autoregressive generation process is a major cause of the high inference latency. Because ML accelerators (GPUs/TPUs) are designed for matrix-matrix multiplications and not the matrix-vector operations common in LLMs, this limitation prevents them from

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Git with just 9 Steps

Mlearning.ai

How to use git to upload code to GitHub? What is Git? Git is a version control system, used to version your code and keep track of its changes. Install GIT by following the instructions [link] Why Version Control? Let’s say you have started writing a simple code and you share it with your friend. Your friend on looking at the code gets hit with an idea to add a functionality.

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The Era of 1-Bit LLM: Microsoft’s Groundbreaking Technology

Analytics Vidhya

Introduction In a groundbreaking move, Microsoft introduced a revolutionary 1-Bit LLM technology set to redefine the landscape of language models. This cutting-edge development promises to revolutionize how we interact with AI systems and open up a world of possibilities for the future. The Innovation Behind 1-Bit LLM Microsoft’s 1-Bit LLM technology is a significant advancement […] The post The Era of 1-Bit LLM: Microsoft’s Groundbreaking Technology appeared first on Analytics

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Compound AI Systems over Vanilla LLMs

Bugra Akyildiz

Articles BAIR(Berkeley AI Research) wrote rather an interesting blog post. Their main argument is that; the LLMs are not the solution to our problems, but rather “compound systems” that bring models to other systems(guardrail, etc) to solve a particular user/product problem. Theory is that AlphaCode, ChatGPT+, Gemini are examples of Compound AI Systems that solve tasks through multiple calls to models and other components.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Meta AI Introduces Searchformer for Improving Planning Efficiency: A Transformer Model for Complex Decision-Making Tasks

Marktechpost

The growth of Artificial Intelligence (AI), with Transformers leading the charge, ranges from applications in conversational AI to image and video generation. Yet, traditional symbolic planners have held the upper hand in complex decision-making and planning tasks due to their structured, rule-based approach. The problem at hand revolves around the inherent limitations of current Transformer models in solving complex planning and reasoning tasks.

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Saving Our Oceans with AI: The Coral Reef Challenge

Mlearning.ai

Coral reefs are like underwater rainforests — full of colorful life and important for the health of our oceans. But climate change… Continue reading on MLearning.

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Indosat Ooredoo Hutchison and Tech Mahindra Collaborate to Develop Garuda LLM

Analytics Vidhya

Introduction Indosat Ooredoo Hutchison (IOH) and Tech Mahindra have partnered to create Garuda LLM, a Language Model (LLM) explicitly tailored for Bahasa Indonesia and its diverse dialects. It will be developed on the principle of Project Indus. A fundamental model crafted to engage in conversations across a diverse range of Indic languages and dialects.

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5 things you need to know about the SAS Hackathon boot camps

SAS Software

Hackathons continue to serve as bustling hubs where creativity meets problem solving. Among them is the SAS Hackathon, where teams collaborate to find the best solutions to a business or humanitarian challenge using SAS® tools. During SAS Innovate in Las Vegas, participants can join the SAS Hackathon boot camps for [.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Alibaba AI Group Propose AgentScope: A Developer-Centric Multi-Agent Platform with Message Exchange as its Core Communication Mechanism

Marktechpost

The emergence of Large Language Models (LLMs) has notably enhanced the domain of computational linguistics, particularly in multi-agent systems. Despite the significant advancements, developing multi-agent applications remains a complex endeavor. This complexity arises from the challenge of effectively coordinating multiple agents’ actions and navigating the unpredictable nature of LLMs.

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2024’s top Power BI interview questions simplified

Pickl AI

Summary: Power BI is a leading data analytics platform offering advanced features like real-time analytics and collaborative capabilities. Understanding its significance is vital for aspiring Power BI developers. With its intuitive interface, Power BI empowers users to connect to various data sources, create interactive reports, and share insights effortlessly.

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A Balanced Look at the Advantages and Disadvantages of Artificial Intelligence

Great Learning

Artificial Intelligence (AI) stands at the forefront of technological innovation, permeating various aspects of our daily lives. From virtual assistants to predictive analytics, AI continues to reshape industries and societies. However, alongside its remarkable advancements come discussions regarding its potential benefits and drawbacks. In this blog, we embark on a journey to explore both sides […] The post A Balanced Look at the Advantages and Disadvantages of Artificial Intelligence app

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The Number-Word Game

SAS Software

Have you heard about the Number-Word Game? This is a simple game that has the following rules: Start with any positive integer. Write down the English word for the integer. Count the number of letters in the word. This gives a new positive integer. Go to (2). Repeat until a [.] The post The Number-Word Game appeared first on SAS Blogs.

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How to Improve Email Deliverability and Optimize Each Send

Learn how to optimize email deliverability and drive greater email ROI. What lands your email in the customer’s inbox? Understanding those factors, otherwise known as email deliverability, is critical to getting the most return on your campaign investments. But the “rules” around which factors land you in the spam folder aren’t always easy to keep up with.

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Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

Marktechpost

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. However, there have been certain difficulties in optimizing LLMs for more effective human instruction delivery. While LLMs have shown progress in tasks involving token prediction and task execution with a limited number of demonstrations, this does not necessarily transfer to better human instruction.

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A fun history about Git

Mlearning.ai

“the information manager from hell” — creator of git You read that right — “ an unpleasant or contemptible person ” — this is what “git” means in British English. It’s not a crazy coincidence that it resembles the “git” tool we use day in and day out. In fact — the meaning is the inspiration behind naming “git” as “git”. You see — when Linus Torvalds (yup — the creator of Linux kernel) was developing the Linux kernel — he was frustrated with the limitations of the then prevailing VCS (version co

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Who Needs Reporters?

Robot Writers AI

AI Rewrites Press Releases, Calls It News A growing number news sites have decided to bypass reporters completely and simply go live with whatever they happen to find in a press release — courtesy of an AI-rewrite. Writer Bron Maher reports that the tool they’re using is Gutenbot, by Reach. Granted, editors at the news outlets using the AI are supposedly tasked to double-check the press release rewrites to ensure the data and claims spewed in the press release are faithfully re-spewe

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Text-to-Video Games and 1-Bit Models: Two Monumental Generative AI Research Milestones in One Week

TheSequence

Created Using DALL-E Next Week in The Sequence: Edge 375: Out series about reasoning in LLMs continues by exploring Meta’s recent work in System2 attention. We also review the Chainlit framework to build LLM applications. Edge 376: We dive into the amazing SGLang framework created by UC Berkeley which provide significant performance gains in LLM inference.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Meet Phind-70B: An Artificial Intelligence (AI) Model that Closes Execution Speed and the Code Generation Quality Gap with GPT-4 Turbo

Marktechpost

The field of Artificial Intelligence (AI) is significantly pushing the envelope of technology, thanks to the amazing capabilities of Large Language Models (LLMs). These models based on Natural Language Processing, Understanding, and Generation have demonstrated exceptional skills and potential in almost every industry. In recent research, a new development has emerged that can greatly improve the coding experiences of developers across the globe.

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How to Deploy Any ML models with FastAPI and Docker

Mlearning.ai

This simple project aims to learn how to use your ml models in deployment using the most common tool FastAPI and containerized the… Continue reading on MLearning.

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Enhancing AI’s Foresight: The Crucial Role of Discriminator Accuracy in Advanced LLM Planning Methods

Marktechpost

The ability of systems to plan and execute complex tasks stands as a testament to AI’s progress. Panning within AI has been approached through various methodologies, ranging from basic decision-making processes to complex algorithms designed to simulate the foresight and adaptability of human intelligence. As the intricacy of problems addressed by AI systems has escalated, so too has the necessity for innovative planning strategies that can navigate these challenges with greater precision and ef

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From Black Box to Open Book: How Stanford’s CausalGym is Decoding the Mysteries of Artificial Intelligence AI Language Processing!

Marktechpost

In the evolving landscape of psycholinguistics, language models (LMs) have carved out a pivotal role, serving as both the subject and tool of study. These models, leveraging vast datasets, attempt to mimic human language processing capabilities, offering invaluable insights into the cognitive mechanisms that underpin language understanding and production.

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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr

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Meet CodeMind: A Machine Learning Framework Designed to Gauge the Code Reasoning Abilities of LLMs

Marktechpost

Large Language Models (LLMs) have significantly shifted the paradigm of how machines interpret and generate human language. These models have demonstrated unparalleled prowess in converting natural language instructions into executable code, marking a monumental leap in machine learning capabilities. The conventional metrics for evaluating these models, primarily focused on code synthesis, barely scratch the surface of their potential.

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Google and Duke University’s New Machine Learning Breakthrough Unveils Advanced Optimization by Linear Transformers

Marktechpost

The advent of transformer architectures has marked a significant milestone, particularly in their application to in-context learning. These models can make predictions based solely on the information presented within the input sequence without explicit parameter updates. This ability to adapt and learn from the input context has been pivotal in pushing the boundaries of achievable across various domains, from natural language processing to image recognition.

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This AI Paper from CMU and Meta AI Unveils Pre-Instruction-Tuning (PIT): A Game-Changer for Training Language Models on Factual Knowledge

Marktechpost

In the fast-paced world of artificial intelligence, the challenge of keeping large language models (LLMs) up-to-date with the latest factual knowledge is paramount. These models, which have become the backbone of numerous AI applications, store a wealth of information during their initial training phase. However, as time passes, the static nature of this stored knowledge becomes a limitation, unable to accommodate the constant evolution of real-world information or specialize in niche domains.