Analytics Vidhya

JULY 24, 2024

Introduction The year 2024 is turning out to be one of the best years in terms of progress on Generative AI. Just last week, we had Open AI launch GPT-4o mini, and just yesterday (23rd July 2024), we had Meta launch Llama 3.1, which has yet again taken the world by storm. What could be […] The post Meta Llama 3.1: Latest Open-Source AI Model Takes on GPT-4o mini appeared first on Analytics Vidhya.

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AI News

JULY 24, 2024

Hey there, AI enthusiasts! If you’re anything like me, you’re always on the lookout for the best resources to discover the latest and greatest in artificial intelligence. Whether you’re a developer eager to showcase your cutting-edge tool or someone simply fascinated by the rapid advancements in AI, knowing where to find and promote these tools is crucial.

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Analytics Vidhya

JULY 24, 2024

Introduction Search engine optimization (SEO) has been impacted by the significant changes brought about by AI growth in many different areas. As businesses strive to improve their online presence and achieve higher search engine rankings, AI emerges as a game-changer, offering innovative solutions to streamline and enhance SEO practices. From automating mundane tasks to providing […] The post Top 11 AI Tools to Replace SEO Agencies appeared first on Analytics Vidhya.

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AI News

JULY 24, 2024

If your business relies on web applications, you’re probably familiar with traditional network firewalls. And for good reason – they play an invaluable role filtering external threats looking to attack your overall infrastructure. But as more and more of your essential operations shift online to intricate web apps and APIs, gaps have opened up that basic firewalls simply can’t see into.

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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.

AI

Analytics Vidhya

JULY 24, 2024

Introduction Imagine launching a high-power rocket, its trajectory soaring into the sky, with every detail meticulously planned and analyzed. This article will guide you through that very process using RocketPy, a cutting-edge Python library for simulating rocket flights. From setting up your rocket’s components to running simulations and visualizing data, we’ll cover each step to […] The post Rocket Launch Simulation and Analysis using RocketPy appeared first on Analytics Vidhya.

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Analytics Vidhya

JULY 24, 2024

Introduction Artificial Intelligence(AI) understands your words and senses your emotions, responding with a human touch that resonates deeply. In the rapidly advancing realm of AI and natural language processing, achieving this level of interaction has become crucial. Enter the Chain of Emotion—a groundbreaking technique that enhances AI’s ability to generate emotionally intelligent and nuanced responses. […] The post What is the Chain of Emotion in Prompt Engineering?

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Unite.AI

JULY 24, 2024

In recent years, it’s no secret that the proliferation of technological innovations has taken the world by storm. Generative AI, in particular, has become increasingly popular, with tools like ChatGPT reaching 100 million users just two months after it launched. But these advanced AI solutions are nothing without meaningful, quality data. Unfortunately, the process of achieving this kind of data is not always simple – companies need to capture and process data in a way that removes bias, and for

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Analytics Vidhya

JULY 24, 2024

Introduction Imagine leading the charge on the data revolution, where your insights influence important business choices and spur expansion. You may believe that starting a career in this interesting field will cost a significant sum of money, but what if you could do it for nothing? This article will show you five excellent free data […] The post 5 Free Data Analytics Courses to Kickstart Your Career appeared first on Analytics Vidhya.

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Unite.AI

JULY 24, 2024

Cybersecurity threats are evolving at an unprecedented rate, with attackers continuously developing more sophisticated methods to breach defenses. This rapid escalation necessitates advanced defense mechanisms to keep up with the changing landscape. Generative Adversarial Networks (GANs) have emerged as powerful tools in this context, leveraging machine learning capabilities to enhance cybersecurity measures.

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Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

LLM

Analytics Vidhya

JULY 24, 2024

Introduction Today’s world is focused on data; businesses must utilize advanced AI technology to stay ahead and improve efficiency. Some instruments assist data scientists, analysts, and developers in efficiently creating, deploying, and overseeing machine learning models. This article explores some of the leading AI tools and platforms in the data science workflow.

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Aiiot Talk

JULY 24, 2024

Those in business investment may find managing market sentiment analysis to be challenging. Traditional methods often miss the subtle shifts in investor attitudes, making it hard to make informed decisions. However, AI-driven sentiment analysis allows investors to gain deeper and more comprehensive insights. It is becoming a valuable asset to investment analysts and simplifies market complexities.

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Marktechpost

JULY 24, 2024

The cybersecurity risks, benefits, and capabilities of AI systems are crucial for the security and AI policy. As AI becomes increasingly integrated into various aspects of our lives, the potential for malicious exploitation of these systems becomes a significant threat. Generative AI models and products are particularly susceptible to attacks due to their complex nature and reliance on large amounts of data.

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LLM Large Language Models Automation AI 128

Towards AI

JULY 24, 2024

Last Updated on July 24, 2024 by Editorial Team Author(s): Artem Shelamanov Originally published on Towards AI. We all know how easy it is to use OpenAI API. You get your API key, pip-install openai library, write 5 lines of code and you’re done. But after some time, you encounter these problems: Vendor lock-in: you have to use only the OpenAI models now, as you don’t have access to others.

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Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

Marktechpost

JULY 24, 2024

Current AI task management methods, such as AutoGPT, BabyAGI, and LangChain, typically rely on free-text outputs, which can be lengthy and less efficient. These frameworks often face challenges in maintaining context and managing the vast action space associated with arbitrary tasks. This research paper addresses the limitations of existing agentic frameworks in natural language processing (NLP) tasks, particularly the inefficiencies in handling dynamic and complex queries that require context r

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databricks

JULY 24, 2024

Dataricks is thrilled to announce the General Availability (GA) of Primary Key (PK) and Foreign Key (FK) constraints, starting in Databricks Runtime 15.2.

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Marktechpost

JULY 24, 2024

Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large corpora, SFT, and RLHF to refine generation quality. RLHF involves training a reward model (RM) based on human preferences and optimizing the LLM to maximize predicted rewards.

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AWS Machine Learning Blog

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task. You can customize the model using prompt engineering, Retrieval Augmented Generation (RAG), or fine-tuning.

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AI

Marktechpost

JULY 24, 2024

DVC.ai has announced the release of DataChain , a revolutionary open-source Python library designed to handle and curate unstructured data at an unprecedented scale. By incorporating advanced AI and machine learning capabilities, DataChain aims to streamline the data processing workflow, making it invaluable for data scientists and developers. Key Features of DataChain: AI-Driven Data Curation: DataChain utilizes local machine learning models and large language (LLM) API calls to enrich datasets

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Towards AI

JULY 24, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Third Week of July 2024.

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Marktechpost

JULY 24, 2024

Large language models (LLMs) models, designed to understand and generate human language, have been applied in various domains, such as machine translation, sentiment analysis, and conversational AI. LLMs, characterized by their extensive training data and billions of parameters, are notoriously computationally intensive, posing challenges to their development and deployment.

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Towards AI

JULY 24, 2024

Author(s): saeed garmsiri Originally published on Towards AI. Photo by Kelli McClintock on Unsplash Hey everyone, thanks for reading another one of my articles! Remember in the last article we did a deep dive into SHAP and LIME? Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI.

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Speaker: Conrado Morlan

In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. Using the lens of a superhero narrative, he’ll uncover how AI can be the ultimate sidekick, aiding in data management and reporting, enhancing productivity, and boosting innovation.

AI

Marktechpost

JULY 24, 2024

Because LLMs are inherently random, building reliable software (like LLM agents) requires continuous monitoring, a systematic approach to testing modifications, and quick iteration on fundamental logic and prompts. Current solutions are vertical, and developers still have to worry about keeping the “glue” between them, which will slow them down.

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Towards AI

JULY 24, 2024

Last Updated on July 25, 2024 by Editorial Team Author(s): Sachin Khandewal Originally published on Towards AI. TLDR; In this article, we will explain multi-hop retrieval and how it can be leveraged to build RAG systems that require complex reasoning We will showcase the technique by building a Q&A chatbot in the healthcare domain using Indexify, OpenAI, and DSPy.

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Marktechpost

JULY 24, 2024

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a major obstacle that many current AutoML systems encounter is the efficient and correct handling of multimodal data. There are currently no systematic comparisons between different information fusion approaches and no generalized frameworks for multi-modality processing; these are the main obstacles to

Machine Learning 111

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Towards AI

JULY 24, 2024

Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the latest progress. This article summarizes some of the most important LLM papers published during the Third Week of July 2024.

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Generative AI

Marktechpost

JULY 24, 2024

As AI systems become more advanced, ensuring their safe and ethical deployment has become a critical concern for researchers and policymakers. One of the pressing issues in AI governance is the management of risks associated with increasingly powerful AI systems. These risks include potential misuse, ethical concerns, and unintended consequences that could arise from AI’s growing capabilities.

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Extreme Tech

JULY 24, 2024

High-latitude mineral samples obtained by the Chang'e 5 mission consist of over 40% water molecules.

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Marktechpost

JULY 24, 2024

Forecasting Sustainable Development Goals (SDG) Scores by 2030: The Sustainable Development Goals (SDGs) set by the United Nations aim to eradicate poverty, protect the environment, combat climate change, and ensure peace and prosperity by 2030. These 17 goals address global health, education, inequality, environmental degradation, and climate change challenges.

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