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GWalkR: A One-Stop R Package for Exploratory Data Analysis with ...
Aug 8, 2024 · In the era of information, data analysis is one of the most powerful tools for any business providing them with insights about market trends, customer behavior, and operational inefficiencies. Despite the large requirements in the field, skilled data analytics are limited, creating a significant gap between the potential value …
The Neo4j LLM Knowledge Graph Builder: An AI Tool that Creates ...
Jul 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 ...
Securing Function Calls in LLMs: Unveiling and ... - MarkTechPost
Aug 8, 2024 · The study addresses a significant yet neglected security issue in LLMs: the risk of jailbreaking through function calling. Key findings include the identification of function calling as a new attack vector that bypasses existing safety measures, a high success rate of over 90% for jailbreak attacks across various LLMs, and underlying issues such as misalignment between function and chat modes ...
Apple Researchers Propose LazyLLM: A Novel AI Technique
Jul 23, 2024 · Researchers from Apple and Meta AI propose LazyLLM, a unique technique to accelerate LLM prefilling by selectively computing the KV cache for important tokens and deferring less crucial ones.It uses attention scores from previous layers to assess token importance and prune progressively. Unlike permanent prompt compression, LazyLLM can revive pruned tokens to maintain accuracy.
Google DeepMind Introduced Self-Correction via Reinforcement …
Sep 21, 2024 · Large language models (LLMs) are increasingly used in domains requiring complex reasoning, such as mathematical problem-solving and coding. These models can generate accurate outputs in several domains. However, a crucial aspect of their development is their ability to self-correct errors without external input, intrinsic self-correction. Many LLMs, despite knowing what is necessary to solve ...
Top 50 AI Writing Tools To Try in 2024 - MarkTechPost
May 11, 2024 · Grammarly Grammarly is a great tool for enhancing writing. It reviews grammar, spelling, punctuation, and style to ensure clear and professional content. Jasper Jasper AI is one of the most popular AI writing tools that makes it easy to create content for websites, blogs, social media, etc. ChatGPT ChatGPT is a robust language generation model helpful for a range of writing tasks. It handles ...
Google AI Introduces SEEDS: A Generative AI Model that
Apr 1, 2024 · Google AI introduced SEEDS to address the challenge of generating accurate and computationally efficient ensemble weather forecasts. Current methods rely on physics-based simulation, which is computationally intensive and limits the size of forecast ensembles, particularly for rare and extreme weather events. The unpredictable nature of weather makes it crucial to quantify uncertainty in ...
Self-Route: A Simple Yet Effective AI Method that Routes
Jul 26, 2024 · Large Language Models (LLMs) have revolutionized the field of natural language processing, allowing machines to understand and generate human language. These models, such as GPT-4 and Gemini-1.5, are crucial for extensive text processing applications, including summarization and question answering. However, managing long contexts remains challenging due to computational limitations and ...
Enhancing Fact-Checking with LoraMap: A Neuroscience-Inspired …
Sep 5, 2024 · Large Language Models (LLMs) have demonstrated great performance in Natural Language Processing (NLP) applications. However, they have high computational costs when fine-tuning them, which can lead to incorrect information being generated, i.e., hallucinations. Two viable strategies have been established to solve these problems: parameter-efficient methods such as Low-Rank Adaptation (LoRA) to ...