Unite.AI

SEPTEMBER 18, 2024

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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Large Language Models Natural Language Processing OpenAI Artificial Intelligence 300

Analytics Vidhya

SEPTEMBER 18, 2024

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?

Natural Language Processing 260

Natural Language Processing Large Language Models NLP LLM 260

AssemblyAI

SEPTEMBER 18, 2024

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.

AI 200

AI AI 200

Analytics Vidhya

SEPTEMBER 18, 2024

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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Conversational AI AI AI Generative AI 258

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

Unite.AI

SEPTEMBER 18, 2024

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.

AI Strategy 162

AI Strategy Neural Network OpenAI AI 162

Unite.AI

SEPTEMBER 18, 2024

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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Automation AI AI Algorithm 147

Analytics Vidhya

SEPTEMBER 18, 2024

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?

Large Language Models 227

Large Language Models Automation Generative AI ChatGPT 227

NVIDIA

SEPTEMBER 18, 2024

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.

Generative AI 135

Generative AI Robotics Neural Network AI 135

Analytics Vidhya

SEPTEMBER 18, 2024

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?

Data Analysis 219

Data Analysis 219

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

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.

AI 122

AI AI Generative AI Computer Vision 122

Analytics Vidhya

SEPTEMBER 18, 2024

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?

Artificial Intelligence 214

Artificial Intelligence Artificial Intelligence Large Language Models AI 214

databricks

SEPTEMBER 18, 2024

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!

Generative AI 121

Generative AI AI AI 121

Analytics Vidhya

SEPTEMBER 18, 2024

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

Artificial Intelligence 201

Artificial Intelligence Artificial Intelligence Algorithm BERT 201

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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?

Business Intelligence

Marktechpost

SEPTEMBER 18, 2024

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.

AI 116

AI AI ML Computer Vision 116

Analytics Vidhya

SEPTEMBER 18, 2024

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?

Large Language Models 187

Large Language Models LLM Automation AI 187

Marktechpost

SEPTEMBER 18, 2024

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.

Large Language Models 116

Large Language Models Machine Learning Software Development Business Intelligence 116

Analytics Vidhya

SEPTEMBER 18, 2024

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.

Automation 182

Automation Data Analysis Generative AI Python 182

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DeepMind

SEPTEMBER 18, 2024

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

Generative AI 136

Generative AI AI AI 136

Marktechpost

SEPTEMBER 18, 2024

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.

Large Language Models 105

Large Language Models Natural Language Processing Explainability Artificial Intelligence 105

Artificial Lawyer

SEPTEMBER 18, 2024

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…

AI 113

AI AI 113

Marktechpost

SEPTEMBER 18, 2024

The field of spoken dialogue systems has evolved significantly over the years, moving beyond simple voice-based interfaces to complex models capable of sustaining real-time conversations. Early systems such as Siri, Alexa, and Google Assistant pioneered voice-activated interactions, allowing users to trigger specific actions through voice commands. These systems, while groundbreaking, were limited to basic tasks like fact retrieval or controlling devices.

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Large Language Models ML AI AI 105

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

AI

Extreme Tech

SEPTEMBER 18, 2024

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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Marktechpost

SEPTEMBER 18, 2024

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.

Large Language Models 105

Large Language Models LLM ML AI 105

AWS Machine Learning Blog

SEPTEMBER 18, 2024

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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Auto-complete ML Generative AI Deep Learning 102

Marktechpost

SEPTEMBER 18, 2024

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.

Large Language Models 105

Large Language Models Automation Data Science ML 105

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Machine Learning Mastery

SEPTEMBER 18, 2024

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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Explainability Machine Learning 98

Marktechpost

SEPTEMBER 18, 2024

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

AI 105

AI AI Algorithm Chatbots 105

databricks

SEPTEMBER 18, 2024

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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Explainability AI AI 95