Wed.Sep 18, 2024

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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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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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What the Launch of OpenAI’s o1 Model Tells Us About Their Changing AI Strategy and Vision

Unite.AI

OpenAI, the pioneer behind the GPT series, has just unveiled a new series of AI models, dubbed o1 , that can “think” longer before they respond. The model is developed to handle more complex tasks, particularly in science, coding, and mathematics. Although OpenAI has kept much of the model's workings under wraps, some clues offer insight into its capabilities and what it may signal about OpenAI's evolving strategy.

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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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How To Select the Right Software for Innovation Management

Finding the right innovation management software is like picking a racing bike—it's essential to consider your unique needs rather than just flashy features. This oversight can stall your innovation efforts. Download now to explore key considerations for success!

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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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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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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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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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The New Frontier: A Guide to Monetizing AI Offerings

Speaker: Michael Mansard

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

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Writer Researchers Introduce Writing in the Margins (WiM): A New Inference Pattern for Large Language Models Designed to Optimize the Handling of Long Input Sequences in Retrieval-Oriented Tasks

Marktechpost

Artificial intelligence (AI) and natural language processing (NLP) have seen significant advancements in recent years, particularly in the development and deployment of large language models (LLMs). These models are essential for various tasks, such as text generation, question answering, and document summarization. However, while LLMs have demonstrated remarkable capabilities, they encounter limitations when processing long input sequences.

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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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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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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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Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

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Contrastive Twist Learning and Bidirectional SMC Bounds: A New Paradigm for Language Model Control

Marktechpost

Large language models (LLMs) have made significant success in various language tasks, but steering their outputs to meet specific properties remains a challenge. Researchers are attempting to solve the problem of controlling LLM generations to satisfy desired characteristics across a wide range of applications. This includes reinforcement learning from human feedback (RLHF), red-teaming techniques, reasoning tasks, and enforcing specific response properties.

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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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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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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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Bringing the Cybersecurity Imperative Into Focus

Tech leaders today are facing shrinking budgets and investment concerns. This whitepaper provides insights from over 1,000 tech leaders on how to stay secure and attract top cybersecurity talent, all while doing more with less. Download today to learn more!

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Inference-Friendly Models with MixAttention

databricks

Transformer models, the backbone of modern language AI, rely on the attention mechanism to process context when generating output. During inference, the attention.

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The Concise Guide to Feature Engineering for Better Model Performance

Machine Learning Mastery

Feature engineering helps make models work better. It involves selecting and modifying data to improve predictions. This article explains feature engineering and how to use it to get better results. What is Feature Engineering? Raw data is often messy and not ready for predictions. Features are important details in your data. They help the model […] The post The Concise Guide to Feature Engineering for Better Model Performance appeared first on MachineLearningMastery.com.

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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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Optimizing AI Safety and Deployment: A Game-Theoretic Approach to Protocol Evaluation in Untrusted AI Systems

Marktechpost

AI Control assesses the safety of deployment protocols for untrusted AIs through red-teaming exercises involving a protocol designer and an adversary. AI systems, like chatbots with access to tools such as code interpreters, become increasingly integrated into various tasks, ensuring their safe deployment becomes more complex. While prior research has focused on building robustly safe models or detecting harmful behavior through interpretability tools, the study introduces a complementary approa

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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

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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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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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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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Legal Tech Leveller, Eve, Announces AI Agents + ‘Blueprints’

Artificial Lawyer

Eve, a new legal genAI startup – which just a year ago bagged $14m in Seed funding from top VCs Lightspeed and Menlo Ventures – has announced a swathe of new features to add to its already very bro…

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How to Master Product Portfolio Management

Pursuing product portfolio management excellence empowers organizations to unlock the full potential of their offerings. This comprehensive guide unveils 10 essential keys that serve as the building blocks for success.

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Is Unchecked Churn Holding Back Your AI Performance? This AI Paper Unveils CHAIN: Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn

Marktechpost

Deep reinforcement learning (DRL) faces a critical challenge due to the instability caused by “churn” during training. Churn refers to unpredictable changes in the output of neural networks for states that are not included in the training batch. This problem is particularly troublesome in reinforcement learning (RL) because of its inherently non-stationary nature, where policies and value functions continuously evolve as new data is introduced.

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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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SynSUM: A Synthetic Benchmark for Integrating Clinical Notes with Structured Data

Marktechpost

Electronic Health Records (EHRs) present a wealth of information, combining structured tabular data and unstructured clinical notes. This valuable resource forms the foundation for training clinical decision support systems and automating diagnosis and treatment planning processes. While large language models (LLMs) can utilize unstructured text, they lack interpretability, an important factor in high-risk clinical applications.