Wed.Sep 18, 2024

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What is the Chinchilla Scaling Law?

Analytics Vidhya

Introduction Large Language Models (LLMs) contributed to the progress of Natural Language Processing (NLP), but they also raised some important questions about computational efficiency. These models have become too large, so the training and inference cost is no longer within reasonable limits. To address this, the Chinchilla Scaling Law, introduced by Hoffmann et al. in […] The post What is the Chinchilla Scaling Law?

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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. In this overview of the best LLMs, we'll explore the key features, benchmark performances, and potential applications of these cutting-edge language models, offering insights into how they're shaping the future

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Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit

Analytics Vidhya

Introduction Have you ever wished you could simply chat with your database, asking questions in plain language and getting instant, relevant answers? Imagine the possibilities – no more complex SQL queries or digging through spreadsheets. Well, with the power of LangChain and its new SQL toolkit, that’s exactly what you can do! Diving into the […] The post Building a Conversational AI SQL Assistant with LangChain, GROQ, and Streamlit appeared first on Analytics Vidhya.

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Introducing the AssemblyAI piece for Activepieces

AssemblyAI

We've been working with Activepieces to make AssemblyAI's Speech AI available to no-code and low-code builders. With the AssemblyAI piece for Activepieces , you can use AssemblyAI's models to transcribe audio with speech recognition models, analyze audio with audio intelligence models, and build generative features on top of audio with LLMs using LeMUR.

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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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10 Generative AI Coding Extensions in VS Code You Must Explore

Analytics Vidhya

Introduction Hey there, Coding ninja! What coding-related tasks do you have planned for the day? Before you dive further into this blog, I want you to think about all your coding-related woes—better list those down. Done? – Let’s get started Now! Imagine being a software developer in the 2000s. The entire coding process required many […] The post 10 Generative AI Coding Extensions in VS Code You Must Explore appeared first on Analytics Vidhya.

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How to Monitor Production-grade Agentic RAG Pipelines?

Analytics Vidhya

Introduction In 2022, the launch of ChatGPT revolutionized both tech and non-tech industries, empowering individuals and organizations with generative AI. Throughout 2023, efforts concentrated on leveraging large language models (LLMs) to manage vast data and automate processes, leading to the development of Retrieval-Augmented Generation (RAG). Now, let’s say you’re managing a sophisticated AI pipeline expected […] The post How to Monitor Production-grade Agentic RAG Pipelines?

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How AI Can Boost Sales Efficiency and Drive Business Success

Unite.AI

The rise of Artificial Intelligence (AI) is set to transform many aspects of business, and sales is no exception. AI's integration into sales processes can significantly enhance efficiency, streamline workflows, and drive business success through insights derived from complex data. Automating Routine Tasks Sales professionals often spend a significant amount of time on repetitive tasks such as data entry, email management, and scheduling.

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Building Multi-Modal Models for Content Moderation on Social Media

Analytics Vidhya

Introduction Imagine you’re scrolling through your favorite social media platform when, out of nowhere, an offensive post pops up. Before you can even hit the report button, it’s gone. That’s content moderation in action. Behind the scenes, platforms rely on sophisticated algorithms to keep harmful content at bay, and the rapid growth of artificial intelligence […] The post Building Multi-Modal Models for Content Moderation on Social Media appeared first on Analytics Vidh

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NVIDIA AI Aerial Launches to Optimize Wireless Networks, Deliver New Generative AI Experiences on One Platform

NVIDIA

Telecommunications providers are transforming beyond voice and data services with an AI computing infrastructure to optimize wireless networks and serve the next-generation needs of generative AI on mobile, robots, autonomous vehicles, smart factories, 5G and much more. Launched today, NVIDIA AI Aerial is a suite of accelerated computing software and hardware for designing, simulating, training and deploying AI radio access network technology (AI-RAN) for wireless networks in the AI era.

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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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What is Denormalization in Databases?

Analytics Vidhya

Introduction Imagine running a busy café where every second counts. Instead of constantly checking separate inventory and order lists, you consolidate all key details onto one easy-to-read board. This is similar to denormalization in databases: by intentionally introducing redundancy and simplifying data storage, it speeds up data retrieval and makes complex queries faster and more […] The post What is Denormalization in Databases?

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The Practitioner's Guide to the Maximal Update Parameterization

Eleuther.ai

Exploring the implementation details of mutransfer

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How Agentic RAG Systems with CrewAI and LangChain Transform Tech?

Analytics Vidhya

Introduction Artificial Intelligence has entered a new era. Gone are the days when models would simply output information based on predefined rules. The cutting-edge approach in AI today revolves around RAG (Retrieval-Augmented Generation) systems, and more specifically, the use of agents to intelligently retrieve, analyze, and verify information. This is the future of intelligent data […] The post How Agentic RAG Systems with CrewAI and LangChain Transform Tech?

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Unleash Your Innovation: Announcing the Databricks Generative AI Startup Challenge with Over $1 Million in Credits, Prizes, and Potential Venture Funding

databricks

The Databricks Generative AI Startup Challenge offers $1M+ in prizes for innovative startups building Generative AI use cases on Databricks. Apply by November 1, 2024!

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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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How to Create Your Personalized News Digest Using AI Agents?

Analytics Vidhya

Introduction The capabilities of large language models (LLMs) are advancing rapidly. They enable us to build a variety of LLM applications. These range from task automation to workflow optimization. One exciting application is using LLMs to create an intelligent news digest or newsletter agent. This agent can pull in relevant content, summarize it, and deliver […] The post How to Create Your Personalized News Digest Using AI Agents?

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Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

AWS Machine Learning Blog

In the field of technology and creative design, logo design and creation has adapted and evolved at a rapid pace. From the hieroglyphs of ancient Egypt to the sleek minimalism of today’s tech giants, the visual identities that define our favorite brands have undergone a remarkable transformation. Today, the world of creative design is once again being transformed by the emergence of generative AI.

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Automate Data Insights with InsightMate Using Gemini & LangSmith

Analytics Vidhya

Introduction Handling huge datasets can be pretty overwhelming in today’s data-heavy world. That’s where InsightMate comes in. It’s designed to make exploring your data a breeze. Just upload your dataset, and you’ll get instant insights, visualizations, and answers to your questions. What’s cool about InsightMate is how it mixes automation with flexibility.

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Empowering YouTube creators with generative AI

DeepMind

New video generation technology in YouTube Shorts will help millions of people realize their creative vision

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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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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

In recent years, FM sizes have been increasing. It is important to consider the massive amount of compute often required to train these models. The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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TSMC's Arizona Fab Is Officially Making Chips for Apple

Extreme Tech

Apple is fulfilling its promise from 2022 to use US-made chips from TSMC's Arizona operation.

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Security best practices for the Databricks Data Intelligence Platform

databricks

At Databricks, we know that data is one of your most valuable assets. Our product and security teams work together to deliver an enterprise-grade Data Intelligence Platform that enables you to defend against security risks and meet your compliance obligations. In this blog, we'll explain how you can leverage our platform's security features to establish a robust defense-in-depth posture that protects your data and AI assets from risks.

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Which Legal AI Pioneers Are Still Independent?

Artificial Lawyer

Which companies that pioneered the field of legal AI are still with us as independent outfits and have neither been sold, nor disappeared entirely? As.

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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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Intel Arrow Lake to Support DDR5-9000 Memory and Beyond With New CUDIMM Modules

Extreme Tech

The company will likely open a sizable memory speed gap between it and AMD with Arrow Lake.

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Mary Technology Bags $920K Pre-Seed Funding For Chronologies

Artificial Lawyer

Sydney-based Mary Technology has gained $920,000 in Pre-Seed funding in a round led by Empress Capital, which included Sam Nickless, CEO of top Australian law.

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Radio Astronomers Sound the Alarm as Starlink Saturates the Sky

Extreme Tech

It's not just visual: A European team found Starlink's V2 satellites emit 32 times more radio interference than older models.

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DreamHOI: A Novel AI Approach for Realistic 3D Human-Object Interaction Generation Using Textual Descriptions and Diffusion Models

Marktechpost

Early attempts in 3D generation focused on single-view reconstruction using category-specific models. Recent advancements utilize pre-trained image and video generators, particularly diffusion models, to enable open-domain generation. Fine-tuning on multi-view datasets improved results, but challenges persisted in generating complex compositions and interactions.

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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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Testing Shows TCL Quantum Dot TVs May Not Have Quantum Dots

Extreme Tech

TCL says the testing is inaccurate.

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Qwen 2.5 Models Released: Featuring Qwen2.5, Qwen2.5-Coder, and Qwen2.5-Math with 72B Parameters and 128K Context Support

Marktechpost

The Qwen team from Alibaba has recently made waves in the AI/ML community by releasing their latest series of large language models (LLMs), Qwen2.5. These models have taken the AI landscape by storm, boasting significant capabilities, benchmarks, and scalability upgrades. From 0.5 billion to 72 billion parameters, Qwen2.5 has introduced notable improvements across several key areas, including coding, mathematics, instruction-following, and multilingual support.

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Lenovo: Intel Lunar Lake Laptops Will Beat Apple M2, M3 in Battery Life

Extreme Tech

Lunar Lake could be much more competitive than Meteor Lake, at least in endurance.

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