Thu.Aug 29, 2024

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10 Free Resources to Learn LLMs

Analytics Vidhya

Introduction Suppose you are on the brink of a technological revolution, which is to embrace the Large Language Models (LLMs,) to unlock some incredible opportunities. As for many innovations from developing smart chatbots to analyzing data, LLMs are in the center of them. The good news? However, what people might not realize is that you […] The post 10 Free Resources to Learn LLMs appeared first on Analytics Vidhya.

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Cerebras vs Nvidia: New inference tool promises higher performance

AI News

AI hardware startup Cerebras has created a new AI inference solution that could potentially rival Nvidia’s GPU offerings for enterprises. The Cerebras Inference tool is based on the company’s Wafer-Scale Engine and promises to deliver staggering performance. According to sources, the tool has achieved speeds of 1,800 tokens per second for Llama 3.1 8B, and 450 tokens per second for Llama 3.1 70B.

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Guide to Tool Calling in LLMs

Analytics Vidhya

Introduction LLMs are all the rage, and the tool-calling feature has broadened the scope of large language models. Instead of generating only texts, it enabled LLMs to accomplish complex automation tasks that were previously impossible, such as dynamic UI generation, agentic automation, etc. These models are trained over a huge amount of data. Hence, they […] The post Guide to Tool Calling in LLMs appeared first on Analytics Vidhya.

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Can AI writing tools and human writers coexist?

AI News

The demand for content is as high as ever in today’s digital world, with businesses, individuals, and marketers seeking fresh, engaging content to connect with their audiences. This increasing demand has resulted in the rise of AI-powered content writing tools , raising concerns from human writers about their future in this market. Can AI tools and human writers coexist in the online space?

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

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

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AI News Weekly - Issue #401: AI chip giant Nvidia shares fall despite record sales - Aug 29th 2024

AI Weekly

Powered by vpdae.com In the News AI chip giant Nvidia shares fall despite record sales Shares in Nvidia have fallen despite the AI chip giant comfortably beating expectations after more than doubling its sales. bbc.com Sponsor Save 60% on AWS Today! Pump.co is the the fastest way to save 60% on AWS & GCP, and for free (yes, you read that right).

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What is speech to text? The complete guide

AssemblyAI

Speech-to-text (also known as speech recognition or voice recognition) is a technology that converts spoken language into written text. It's the digital ears that listen and the virtual hands that type to translate our voices into words on a screen. This seemingly simple concept opens up a world of possibilities, from making our daily lives more convenient to transforming entire industries.

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The AI Scientist: A New Era of Automated Research or Just the Beginning

Unite.AI

Scientific research is a fascinating blend of deep knowledge and creative thinking, driving new insights and innovation. Recently, Generative AI has become a transformative force, utilizing its capabilities to process extensive datasets and create content that mirrors human creativity. This ability has enabled generative AI to transform various aspects of research from conducting literature reviews and designing experiments to analyzing data.

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Test – Blogathon 

Analytics Vidhya

Introduction Hallucination in large language models (LLMs) refers to the generation of information that is factually incorrect, misleading, or fabricated. Despite their impressive capabilities in generating coherent and contextually relevant text, LLMs sometimes produce outputs that diverge from reality. This article explores the concept of hallucination in LLMs, its causes, implications, and potential solutions.

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Integrating Contextual Understanding in Chatbots Using LangChain

Unite.AI

In recent years, the digital world has seen significant changes, with chatbots becoming vital tools in customer service, virtual assistance, and many other areas. These AI-driven agents have advanced quickly, now handling various tasks, from answering simple questions to managing complex customer interactions. However, despite their growing capabilities, many chatbots still need help understanding the context of conversations, which is an essential aspect of human communication.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Apache Flink for all: Making Flink consumable across all areas of your business

IBM Journey to AI blog

In an era of rapid technological advancements, responding quickly to changes is crucial. Event-driven businesses across all industries thrive on real-time data, enabling companies to act on events as they happen rather than after the fact. These agile businesses recognize needs, fulfill them and secure a leading market position by delighting customers.

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Shaktiman Mall, Principal Product Manager, Aviatrix – Interview Series

Unite.AI

Shaktiman Mall is Principal Product Manager at Aviatrix. With more than a decade of experience designing and implementing network solutions, Mall prides himself on ingenuity, creativity, adaptability and precision. Prior to joining Aviatrix, Mall served as Senior Technical Marketing Manager at Palo Alto Networks and Principal Infrastructure Engineer at MphasiS.

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Cerebras Introduces the World’s Fastest AI Inference for Generative AI: Redefining Speed, Accuracy, and Efficiency for Next-Generation AI Applications Across Multiple Industries

Marktechpost

Cerebras Systems has set a new benchmark in artificial intelligence (AI) with the launch of its groundbreaking AI inference solution. The announcement offers unprecedented speed and efficiency in processing large language models (LLMs). This new solution, called Cerebras Inference , is designed to meet AI applications’ challenging and increasing demands, particularly those requiring real-time responses and complex multi-step tasks.

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Celebrating the final AWS DeepRacer League championship and road ahead

AWS Machine Learning Blog

The AWS DeepRacer League is the world’s first autonomous racing league, open to everyone and powered by machine learning (ML). AWS DeepRacer brings builders together from around the world, creating a community where you learn ML hands-on through friendly autonomous racing competitions. As we celebrate the achievements of over 560,000 participants from more than 150 countries who sharpened their skills through the AWS DeepRacer League over the last 6 years, we also prepare to close this chapter w

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15 Modern Use Cases for Enterprise Business Intelligence

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?

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Top Open-Source Large Language Model (LLM) Evaluation Repositories

Marktechpost

Ensuring the quality and stability of Large Language Models (LLMs) is crucial in the continually changing landscape of LLMs. As the use of LLMs for a variety of tasks, from chatbots to content creation, increases, it is crucial to assess their effectiveness using a range of KPIs in order to provide production-quality applications. Four open-source repositories—DeepEval, OpenAI SimpleEvals, OpenAI Evals, and RAGAs, each providing special tools and frameworks for assessing RAG applications and LLM

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Wood-Based Plastic Alternative Acts as a 'CO2 Sponge'

Extreme Tech

The reusable material can absorb and release carbon dioxide on demand, offering a solution to both jam-packed landfills and unchecked carbon emissions.

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Table-Augmented Generation (TAG): A Unified Approach for Enhancing Natural Language Querying over Databases

Marktechpost

AI systems integrating natural language processing with database management can unlock significant value by enabling users to query custom data sources using natural language. Current methods like Text2SQL and Retrieval-Augmented Generation (RAG) are limited, handling only a subset of queries: Text2SQL addresses queries translatable to relational algebra, while RAG focuses on point lookups within databases.

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Google AI Supports Human Image Generation Again

Extreme Tech

Google paused human images in its Imagen model earlier this year following an online backlash.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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#38 Back to Basics — RAG, Transformers, ML Optimization, and LLM Evaluation.

Towards AI

Last Updated on September 2, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, the community and I are answering some recurring questions about RAG, coding assistants, transformers, machine learning, and more. You will also find fun collaboration opportunities and memes.

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Researchers Successfully Bond Wood and Plastic Without Screws or Glue

Extreme Tech

The team hopes this technique can reduce the use of non-recyclable materials.

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DeepSeek-AI Introduces Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning

Marktechpost

The demand for processing power and bandwidth has increased exponentially due to the rapid advancements in Large Language Models (LLMs) and Deep Learning. The complexity and size of these models, which need enormous quantities of data and computer power to train properly, are the main causes of this demand spike. However, building high-performance computing systems is much more expensive due to the high cost of faster processing cores and sophisticated interconnects.

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Nvidia Reports Record Q2 Revenue of $30 Billion

Extreme Tech

It didn't even launch any new products this past quarter either.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

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

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From RAG to Richness: Startup Uplevels Retrieval-Augmented Generation for Enterprises

NVIDIA

Well before OpenAI upended the technology industry with its release of ChatGPT in the fall of 2022, Douwe Kiela already understood why large language models, on their own, could only offer partial solutions for key enterprise use cases. The young Dutch CEO of Contextual AI had been deeply influenced by two seminal papers from Google and OpenAI , which together outlined the recipe for creating fast, efficient transformer-based generative AI models and LLMs.

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SpaceX Falcon 9 Grounded Again After Fiery Landing Mishap

Extreme Tech

After flying its 23rd mission, the booster burst into flames.

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Edge 426: Reviewing Google DeepMind’s New Tools for AI Interpretability and Guardrailing

TheSequence

Created Using Ideogram Google’s Gemma is one of the most interesting efforts in modern generative AI pushing the boundaries of small language models(SLMs). Unveiled last year by Google DeepMind, Gemma is a family of SLMs that achieved comparable performance to much larger models. A few days ago, Google released some additions to Gemma 2 that included a 2B parameter model but also two new tools that address some of the major challenges with foundation model adoption: security and interpreta

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MSI First to Offer 105W TDP Option for Ryzen 9600X, 9700X CPUs

Extreme Tech

The chips are 65W CPUs now, but that could be changing soon.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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5 Influential Machine Learning Papers You Should Read

Machine Learning Mastery

In recent years, machine learning has experienced a profound transformation with the emergence of LLMs and new techniques that improved the domain’s state of the art. Most of these advancements have mainly been initially revealed in research papers, which have introduced new techniques while reshaping our understanding and approach to the domain.

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LayerPano3D: A Novel AI Framework that Leverages Multi-Layered 3D Panorama for Full-View Consistent and Free Exploratory Scene Generation from Text Prompt

Marktechpost

Recent advancements in AI and deep learning have revolutionized 3D scene generation, impacting various fields, from entertainment to virtual reality. However, existing methods face challenges such as semantic drift during scene expansion, limitations in panorama representations, and difficulties managing complex scene hierarchies. These issues often result in inconsistent or incoherent generated environments, hampering the creation of high-quality, explorable 3D scenes.

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Optimizing Byte-level Representation for End-to-End ASR

Machine Learning Research at Apple

In this paper, we propose an algorithm to optimize a byte-level representation for end-to-end (E2E) automatic speech recognition (ASR). Byte-level representation is often used by large scale multilingual ASR systems when the character set of the supported languages is large. The compactness and universality of byte-level representation allow the ASR models to use smaller output and therefore, provides more flexibility.