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.
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.
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.
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
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.
Artificial Intelligence Zone brings together the best content for AI and ML professionals from the widest variety of thought leaders.
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?
IBM Journey to AI blog
JULY 24, 2024
As the global data storage market is set to more than triple by 2032 , businesses face increasing challenges in managing their growing data. This shift to hybrid cloud solutions is transforming data management, enhancing flexibility and boosting performance across organizations. By focusing on five key aspects of cloud adoption for optimizing data management—from evolving data strategies to ensuring compliance—businesses can create adaptable, high performing data ecosystems that are
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.
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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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.
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.
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.
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.
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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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?
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.
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
AWS Machine Learning Blog
JULY 24, 2024
This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) software and applications focused on sales, customer service, marketing automation, ecommerce, analytics, and application development.
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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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.
AWS Machine Learning Blog
JULY 24, 2024
Amazon Q is a fully managed, generative artificial intelligence (AI) powered assistant that you can configure to answer questions, provide summaries, generate content, gain insights, and complete tasks based on data in your enterprise. The enterprise data required for these generative-AI powered assistants can reside in varied repositories across your organization.
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
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.
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.
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
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.
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.
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.
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
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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.
Extreme Tech
JULY 24, 2024
High-latitude mineral samples obtained by the Chang'e 5 mission consist of over 40% water molecules.
Marktechpost
JULY 24, 2024
Large Language Models (LLMs) have become significantly popular in the recent times. However, evaluating LLMs on a wider range of tasks can be extremely difficult. Public standards do not always accurately reflect an LLM’s general skills, especially when it comes to performing highly specialized client tasks that call for domain-specific knowledge.
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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