Sun.Jul 21, 2024

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Top 10 Free AI Playgrounds For You to Try in 2024

Analytics Vidhya

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.

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The Neo4j LLM Knowledge Graph Builder: An AI Tool that Creates Knowledge Graphs from Unstructured Data

Marktechpost

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.

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5 Statistical Tests Every Data Scientist Should Know

Analytics Vidhya

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

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GraphRAG + GPT-4o-Mini is the RAG Heaven

Towards AI

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.

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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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Apple AI Released a 7B Open-Source Language Model Trained on 2.5T Tokens on Open Datasets

Marktechpost

Language models (LMs) have become fundamental in natural language processing (NLP), enabling text generation, translation, and sentiment analysis tasks. These models demand vast amounts of training data to function accurately and efficiently. However, the quality and curation of these datasets are critical to the performance of LMs. This field focuses on refining the data collection and preparation methods to enhance the models’ effectiveness.

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Agent Symbolic Learning: An Artificial Intelligence AI Framework for Agent Learning that Jointly Optimizes All Symbolic Components within an Agent System

Marktechpost

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.

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Building a Multi-Agent AI Application with LlamaIndex, Bedrock, and Slack Integration: A Technical Journey — Part 1

Towards AI

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.

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This AI Paper from NYU and Meta Introduces Neural Optimal Transport with Lagrangian Costs: Efficient Modeling of Complex Transport Dynamics

Marktechpost

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.

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One Week, 7 Major Foundation Model Releases

TheSequence

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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LOTUS: A Query Engine for Reasoning over Large Corpora of Unstructured and Structured Data with LLMs

Marktechpost

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.

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Are Language Models Actually Useful for Time Series Forecasting?

Towards AI

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.

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Athene-Llama3-70B Released: An Open-Weight LLM Trained through RLHF based on Llama-3-70B-Instruct

Marktechpost

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.

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Won’t Get Fooled Again

Robot Writers AI

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

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How To Speak The Language Of Financial Success In Product Management

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.

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Arcee AI Introduces Arcee-Nova: A New Open-Sourced Language Model based on Qwen2-72B and Approaches GPT-4 Performance Level

Marktechpost

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.

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Nephilim v3 8B Released: An Innovative AI Approach to Merging Models for Enhanced Roleplay and Creativity

Marktechpost

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.

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Monitoring AI-Modified Content at Scale: Impact of ChatGPT on Peer Reviews in AI Conferences

Marktechpost

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.

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Meet Parea AI: An AI Startup that Automatically Creates LLM-based Evals Aligned with Human Judgement

Marktechpost

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.

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IT Leadership Agrees AI is Here, but Now What?

IT leaders are experiencing rapid evolution in AI amid sustained investment uncertainty. As AI evolves, enhanced cybersecurity and hiring challenges grow. This whitepaper offers real strategies to manage risks and position your organization for success.