Analytics Vidhya

JULY 21, 2024

Introduction Having the correct tools and platforms is crucial for learning and innovation in the constantly changing field of artificial intelligence. AI playgrounds offer a great opportunity to test advanced models and technologies without needing a lot of money. If you’re a scientist, creator, or fan, these play areas offer various features for different purposes. […] The post Top 10 Free AI Playgrounds For You to Try in 2024 appeared first on Analytics Vidhya.

Artificial Intelligence 367

Artificial Intelligence Artificial Intelligence AI AI 367

Towards AI

JULY 21, 2024

Last Updated on July 22, 2024 by Editorial Team Author(s): Vatsal Saglani Originally published on Towards AI. Image by DALL-E 3 Disclaimer: This implementation of GraphRAG is inspired by the paper From Local to Global: A Graph RAG Approach to Query-Focused Summarization by Darren Edge et. al. The code is not entirely similar to the paper’s codebase, though the prompts for certain tasks are taken from the paper’s codebase.

AI 132

AI AI Machine Learning 132

Analytics Vidhya

JULY 21, 2024

Introduction In data science, having the ability to derive meaningful insights from data is a crucial skill. A fundamental understanding of statistical tests is necessary to derive insights from any data. These tests allow data scientists to validate hypotheses, compare groups, identify relationships, and make predictions with confidence. Whether you’re analyzing customer behavior, optimizing algorithms, […] The post 5 Statistical Tests Every Data Scientist Should Know appeared first

Data Scientist 350

Data Scientist Data Science Algorithm Data Analysis 350

Marktechpost

JULY 21, 2024

In the rapidly developing field of Artificial Intelligence, it is more important than ever to convert unstructured data into organized, useful information efficiently. Recently, a team of researchers introduced the Neo4j LLM Knowledge Graph Builder , an AI tool that can easily address this issue. This potential application creates a text-to-graph experience by utilizing some great machine-learning models to transform unstructured text into an extensive knowledge graph.

LLM 131

LLM AI Tools Data Analysis Machine Learning 131

Speaker: Kevin Burke

AI is reshaping marketing and sales, empowering professionals to work smarter, faster, and more effectively. This webinar will provide a practical introduction to AI, focusing on its current applications, transformative potential, and strategies for successful implementation in your organization. Using real-world examples and actionable insights, we’ll examine how businesses are leveraging AI to increase efficiency, enhance personalization, and drive measurable results.

AI

Towards AI

JULY 21, 2024

Last Updated on July 22, 2024 by Editorial Team Author(s): Vatsal Saglani Originally published on Towards AI. Part 1: Introduction to GraphRAGImage by DALL-E 3 Disclaimer: This implementation of GraphRAG is inspired by the paper From Local to Global: A Graph RAG Approach to Query-Focused Summarization by Darren Edge et. al. The code is not entirely similar to the paper’s codebase, though the prompts for certain tasks are taken from the paper’s codebase.

AI 126

AI AI Machine Learning 126

Towards AI

JULY 21, 2024

Author(s): Reza Yazdanfar Originally published on Towards AI. Time Series Time series is one of the most challenging lines of work in machine learning, and this has made researchers less reluctant to work on it. However, solving time series tasks like anomaly detection, time series forecasting, … are vital in a wide variety of industries and could save tons of money.

LLM 122

LLM Large Language Models Machine Learning OpenAI 122

Marktechpost

JULY 21, 2024

Optimal transport is a mathematical discipline focused on determining the most efficient way to move mass between probability distributions. This field has wide-ranging applications in economics, where it is used to model resource allocation; in physics, to simulate particle dynamics; and in machine learning, where it aids in data alignment and analysis.

Neural Network 112

Neural Network Machine Learning Data Science AI 112

Towards AI

JULY 21, 2024

Author(s): Ryan Nguyen Originally published on Towards AI. AI-Generated Image Hello everyone, I’m back after a busy few months since my last blog post (6 months and 13 days exactly). It has been busy for me for the last couple of months as I’ve been working on an AI-powered solution with multi-agent AI integrated with Slack for internal use. The project has been a great success, with over 150 employees using it since launch and it has answered more than 1,000 questions so far.

Chatbots 105

Chatbots AI AI Machine Learning 105

Marktechpost

JULY 21, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence, enabling the creation of language agents capable of autonomously solving complex tasks. However, the development of these agents faces significant challenges. The current approach involves manually decomposing tasks into LLM pipelines, with prompts and tools stacked together.

Artificial Intelligence 112

Artificial Intelligence Artificial Intelligence Neural Network Large Language Models 112

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Ready to cut through the AI hype and learn exactly how to use these tools in your legal work? Join this webinar to get practical guidance from attorney and AI legal expert, Joe Stephens, who understands what really matters for legal professionals! What You'll Learn: Evaluate AI Tools Like a Pro 🔍 Learn which tools are worth your time and how to spot potential security and ethics risks before they become problems.

AI

TheSequence

JULY 21, 2024

Created Using DALL-E Next Week in The Sequence: Edge 415: Our series about autonomous agents dives into procedural memory. We review Microsoft’s JARVIS-1 memory-augmented agent adn dive into the Zep framework for memory management in LLMs. Edge 416: We deep dive into Apple’s amanzing 4M-21 multimodal model. You can subscribe to The Sequence below: TheSequence is a reader-supported publication.

ML Engineer 75

ML Engineer Automation LLM OpenAI 75

Marktechpost

JULY 21, 2024

The semantic capabilities of modern language models offer the potential for advanced analytics and reasoning over extensive knowledge corpora. However, current systems need more high-level abstractions for large-scale semantic queries. Complex tasks like summarizing recent research, extracting biomedical information, or analyzing internal business transcripts require sophisticated data processing and reasoning.

ETL 109

ETL LLM ML Large Language Models 109

Robot Writers AI

JULY 21, 2024

ChatGPT-Generated Exam Answers Dupe Profs Looks like college take-home tests are destined to suffer the same fate as the Dodo bird. Instructors at a U.K. university learned as much after a slew of take-home exams featuring answers generated by ChatGPT passed with flying colors — all while evading virtually any suspicions of cheating. Observes writer Richard Adams: “Researchers at the University of Reading fooled their own professors by secretly submitting AI-generated exam answers th

ChatGPT 52

ChatGPT Robotics Generative AI AI 52

Marktechpost

JULY 21, 2024

Nexusflow has released Athene-Llama3-70B , an open-weight chat model fine-tuned from Meta AI’s Llama-3-70B. Athene-70B has achieved an Arena-Hard-Auto score of 77.8%, rivaling proprietary models like GPT-4o and Claude-3.5-Sonnet. This marks a significant improvement from its predecessor, Llama-3-70B-Instruct, which scored 46.6%. The enhancement stems from Nexusflow’s targeted post-training pipeline, designed to improve specific model behaviors.

LLM 108

LLM Chatbots ML AI 108

Speaker: Carolyn Clark and Miriam Connaughton

Forget predictions, let’s focus on priorities for the year and explore how to supercharge your employee experience. Join Miriam Connaughton and Carolyn Clark as they discuss key HR trends for 2025—and how to turn them into actionable strategies for your organization. In this dynamic webinar, our esteemed speakers will share expert insights and practical tips to help your employee experience adapt and thrive.

AI

Marktechpost

JULY 21, 2024

Human reviewers or LLMs are often the only options for evaluating free-form material. However, their evaluation can be inaccurate and the process is time-consuming, costly, and arduous. The relief from this manual work comes with prompt engineering or the development of a unique optimization procedure, which is necessary for LLM evaluations to function as intended.

LLM 108

LLM Prompt Engineer Prompt Engineering AI 108

Marktechpost

JULY 21, 2024

Arcee AI introduced Arcee-Nova , a groundbreaking achievement in open-source artificial intelligence. Following their previous release, Arcee-Scribe, Arcee-Nova has quickly established itself as the highest-performing model within the open-source domain. Evaluated on the same stack as the OpenLLM Leaderboard 2.0, Arcee-Nova’s performance approaches that of GPT-4 from May 2023, marking a significant milestone for Arcee AI and the AI community at large.

Software Development 103

Software Development Artificial Intelligence Artificial Intelligence Data Analysis 103

Marktechpost

JULY 21, 2024

Llama-3-Nephilim-v3-8B and llama-3-Nephilim-v3-8B-GGUF are two innovative models released on Hugging Face. Although these models were never explicitly trained for roleplay, they exhibit remarkable capability in this domain, highlighting the potential of “found art” approaches in AI development. The creation of these models involved merging several pre-trained language models using mergekit, a tool designed to combine the strengths of different models.

LLM 102

LLM AI AI AI Developer 102

Marktechpost

JULY 21, 2024

Large Language Models (LLMs) have been widely discussed in several domains, such as global media, science, and education. Even with this focus, measuring exactly how much LLM is used or assessing the effects of created text on information ecosystems is still difficult. A significant challenge is the growing difficulty in differentiating texts produced by LLMs from human-written texts.

ChatGPT 101

ChatGPT Large Language Models LLM AI 101

Speaker: Joe Stephens, J.D., Attorney and Law Professor

Get ready to uncover what attorneys really need from you when it comes to trial prep in this new webinar! Attorney and law professor, Joe Stephens, J.D., will share proven techniques for anticipating attorney needs, organizing critical documents, and transforming complex information into compelling case presentations. Key Learning Objectives: Organization That Makes Sense 🎯 Learn how to structure and organize case materials in ways that align with how attorneys actually work and think.