Tue.Jun 25, 2024

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How to Build a LangChain Chatbot with Memory?

Analytics Vidhya

Introduction Chatbots have become an integral part of modern applications, providing users with interactive and engaging experiences. In this guide, we’ll create a chatbot using LangChain, a powerful framework that simplifies the process of working with large language models. Our chatbot will have the following key features: By the end of this article, you’ll have […] The post How to Build a LangChain Chatbot with Memory?

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Could an Apple-Meta partnership redefine the AI landscape?

AI News

Apple has reportedly entered into discussions with Meta to integrate the latter’s generative AI model into its newly unveiled personalised AI system, Apple Intelligence. Sources familiar with the talks have revealed that Apple has also been considering partnerships with startups Anthropic and Perplexity to integrate their generative AI technologies.

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Efficient LLM Workflows with LangChain Expression Language

Analytics Vidhya

Introduction The advancements in LLM world is growing fast and the next chapter in AI application development is here. LangChain Expression Language (LCEL) isn’t just an upgrade—it’s a game-changer. Initially known for proof-of-concepts, LangChain has rapidly evolved into a powerhouse Python library for LLM interactions. With the introduction of LCEL in August 2023, it’s now […] The post Efficient LLM Workflows with LangChain Expression Language appeared first on Analytic

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Alibaba Cloud launches English version of AI model hub

AI News

Alibaba Cloud has taken a step towards globalising its AI offerings by unveiling an version of ModelScope , its open-source AI model community. The move aims to bring generative AI capabilities to a wider audience of businesses and developers worldwide. ModelScope, which embodies Alibaba Cloud’s concept of “Model-as-a-Service,” transforms AI models into readily available and deployable services.

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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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Automating Web Search Using LangChain and Google Search APIs

Analytics Vidhya

Introduction Artificial intelligence is expanding in the modern world because to a multitude of studies and inventions in the field from various startups and organizations. Researchers and innovators are creating a wide range of tools and technology to support the creation of LLM-powered applications. With the aid of AI and NLP innovations like LangChain and […] The post Automating Web Search Using LangChain and Google Search APIs appeared first on Analytics Vidhya.

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SQL DELETE Statement

Analytics Vidhya

Introduction If you are someone who handles databases at work, I’m sure you use SQL a lot. Doesn’t SQL make it a breeze to work with and edit the contents of large databases? With so many built-in functions for all kinds of queries, SQL is a must-know tool for all data scientists and data analysts. […] The post SQL DELETE Statement appeared first on Analytics Vidhya.

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David Fattal, Co-Founder & Chief Technical Officer at Leia – Interview Series

Unite.AI

David Fattal is the CEO and founder at Leia , the leading provider of glasses-free 3D display hardware and software solutions. He previously spent nine years at HP Labs working on various aspects of quantum computing and photonics, and specializing in the manipulation of light at the nanoscale. He holds a PhD in Physics from Stanford University and a BS in theoretical physics from Ecole Polytechnique, France.

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Introduction to SQL Union

Analytics Vidhya

Introduction SQL is an important tool that every data scientist and data analyst should know. Its UNION statement allows you to combine the results of two or more SQL SELECT statements. The SELECT command may be on the same table or a different table. We will delve into the basics of UNION and explore different […] The post Introduction to SQL Union appeared first on Analytics Vidhya.

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Navigating the Challenges of GenAI Implementation

Unite.AI

Generative AI (GenAI)-enabled software development will improve productivity and work efficiency – the question is, how much? Most market research on this topic shows considerable gains in productivity. Research from Harvard found that specialists, depending on the task and seniority, saw a 43% increase in productivity. Likewise, a report from Goldman Sachs suggests that productivity could rise by 1.5 percentage points with GenAI after ten years of broad adoption, equating to almost double th

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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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From Incremental to Exponential: Revolutionizing Generative AI

Analytics Vidhya

In our latest Leading with Data episode, Dr. Manish Gupta joins us with a global perspective, honed by leading teams across India, Australia, and the US. He previously led VideoKen, a pioneering video technology startup, and played a key role in directing research centers for Xerox and IBM in India. His impressive experience includes leading […] The post From Incremental to Exponential: Revolutionizing Generative AI appeared first on Analytics Vidhya.

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How to Do Hotword Detection with Streaming Speech-to-Text and Go

AssemblyAI

If you've ever wanted to create a personal AI assistant like Siri or Alexa, the first step is to figure out how to trigger the AI using a specific word or phrase (also known as a hotword). All of the prevalent AI systems use a similar approach; for Alexa, the hotword is "Alexa," and for Siri, the hotword is "Hey Siri." In this tutorial, you'll learn how to implement a hotword detection system using AssemblyAI's Streaming Speech-to-Text API.

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Nvidia’s DLSS: Deep Learning Super Sampling

Analytics Vidhya

Introduction Nvidia is a US-based corporation, headquartered in Santa Clara, California. Recently, it became the largest company in the world, by market cap. This is mainly because of the AI boom and demand for AI chips. Their high-performance GPUs are well-known. These GPUs have had a significant influence on gaming and artificial intelligence. Deep Learning […] The post Nvidia’s DLSS: Deep Learning Super Sampling appeared first on Analytics Vidhya.

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AI-Driven Data Anonymization Techniques in Health Care

Aiiot Talk

Data privacy is a leading concern in many industries, but health care deals with more pressure than most. Patient information faces stringent regulations and can do significant damage if it leaks. At the same time, you need to be able to share and analyze it to improve care. Healthcare data breaches average $10.93 million , more expensive than in any other industry.

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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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EvolutionaryScale Secures $142M to Advance Generative AI in Biology

Unite.AI

EvolutionaryScale , an artificial intelligence startup focused on biology, has announced a successful seed funding round, raising $142 million. The company aims to leverage generative AI models to drive innovation and accelerate discoveries in the field of biology. With this significant investment, EvolutionaryScale is poised to make significant strides in applying AI to solve complex biological challenges.

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EvolutionaryScale Debuts With ESM3 Generative AI Model for Protein Design

NVIDIA

Generative AI has revolutionized software development with prompt-based code generation — protein design is next. EvolutionaryScale today announced the release of its ESM3 model, the third-generation ESM model, which simultaneously reasons over the sequence, structure and functions of proteins, giving protein discovery engineers a programmable platform.

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Google Project Zero Introduces Naptime: An Architecture for Evaluating Offensive Security Capabilities of Large Language Models

Marktechpost

Exploring new frontiers in cybersecurity is essential as digital threats evolve. Traditional approaches, such as manual source code audits and reverse engineering, have been foundational in identifying vulnerabilities. Yet, the surge in the capabilities of Large Language Models (LLMs) presents a unique opportunity to transcend these conventional methods, potentially uncovering and mitigating previously undetectable security vulnerabilities.

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Build safe and responsible generative AI applications with guardrails

AWS Machine Learning Blog

Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for customer service , virtual assistants , content generation , and much more. However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation , manipulation of individuals, and the generation of undesirable outputs such as harmful slurs or biased content.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Unstructured Introduces Unstructured Serverless API: The Simplest, Fastest, and Cost-Effective Way to Render Enterprise Data AI-Ready

Marktechpost

The rapid evolution of AI and machine learning ML necessitates robust, scalable, and efficient data processing solutions. Unstructured, a leading innovator in data transformation, introduces its Unstructured Serverless API , a groundbreaking development aimed at simplifying, accelerating, and reducing the costs of making enterprise data AI-ready. Introduction to Unstructured Serverless API The Unstructured Serverless API represents the pinnacle of data processing technology, designed to render e

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Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

AWS Machine Learning Blog

Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond promptly and address customer concerns.

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Meet Otto: A New AI Tool for Interacting and Working with Artificial Intelligence AI Agents – Using Tables

Marktechpost

In today’s fast-paced digital world, efficient interaction and management of tasks using Artificial Intelligence (AI) is paramount for productivity and innovation. Many existing tools require extensive setup or a steep learning curve, leading to significant delays in implementation and integration. To address these challenges, a groundbreaking solution named Otto has emerged.

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Introducing Redesigned Navigation, Run Groups, Reports, and More

The MLOps Blog

We’ve been working on these improvements for quite some time, so it’s exciting to share them with the world finally! Here’s what’s included in the latest release of Neptune. Redesigned navigation: More space for what matters most Starting from the top, let’s talk about the redesigned navigation. Your Neptune app’s working space is where you display a lot of stuff—like, really, a lot.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

AWS Machine Learning Blog

Amazon Bedrock has enabled customers to build new delightful experiences for their customers using generative artificial intelligence (AI). Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities that you need to build generative AI applications with security, privacy, and responsible AI.

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Top Online Courses on Google Gemini

Marktechpost

Google Gemini is a generative AI-powered collaborator from Google Cloud designed to enhance various tasks such as code explanation, infrastructure management, data analysis, and application development. Its features include text generation, error detection, security configuration, and resource management. Learning about Gemini’s functionalities is important because it can significantly improve productivity, efficiency, and accuracy in diverse technical workflows, making it a valuable tool

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AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock

AWS Machine Learning Blog

We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. What is Jamba-Instruct Jamba-Instruct is an instruction-tuned version of the Jamba base model, previously open sourced by AI21 Labs, which combines a production grade-mod

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Meet Maestro: An AI Framework for Claude Opus, GPT and Local LLMs to Orchestrate Subagents

Marktechpost

In today’s rapidly advancing technological world, efficiently managing complex tasks is a significant challenge. Breaking down extensive objectives into manageable parts and coordinating multiple processes to achieve a cohesive final output can be daunting. This task management problem becomes even more pronounced when working with AI models, which can sometimes produce fragmented or incomplete results.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

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.

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DLT pipeline development made simple with notebooks

databricks

We’re just a couple weeks removed from the biggest Data + AI Summit in history, where we introduced Databricks LakeFlow , a unified.

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NuMind Releases NuExtract: A Lightweight Text-to-JSON LLM Specialized for the Task of Structured Extraction

Marktechpost

NuMind introduces NuExtract , a cutting-edge text-to-JSON language model that represents a significant advancement in structured data extraction from text. This model aims to transform unstructured text into structured data highly efficiently. The innovative design and training methodologies used in NuExtract position it as a superior alternative to existing models, providing high performance and cost-efficiency.

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Screens Publicly Announces 97.5% GenAI Accuracy in Transparency Move

Artificial Lawyer

In a move aimed at bringing more transparency to the sector, legal tech company Screens, which is the sister business of contract-focused TermScout, has decided.

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