Dear Chatbot Enthusiasts, Ready for some exciting news? We’ve got Google’s Gemini Team in our sights for the upcoming Chatbot Conference in San Francisco (Sept 24–26), and we need YOUR help to make it great! 🎉 To ensure we select the topics that matter most to… Read More »If You Could Ask Googles AI Team Anything, What Would It Be? Stefan Kojouharov Chatbots Life – Medium
[[{“value”:” Groq has recently released two innovative open-source models for tool use: Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use. These models are developed in collaboration with Glaive and designed to advance tool use and function-calling capabilities in AI. The Llama-3-Groq-70B-Tool-Use model is the highest-performing model on the Berkeley Function… Read More »Groq Releases Llama-3-Groq-70B-Tool-Use and Llama-3-Groq-8B-Tool-Use: Open-Source, State-of-the-Art Models Achieving Over 90% Accuracy on Berkeley Function Calling Leaderboard Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large language models (LLMs) have revolutionized human-computer interaction but face challenges in complex real-world scenarios requiring extensive reasoning. LLM-based agents struggle with lengthy reasoning chains, leading to error propagation and reduced accuracy. Existing systems’ complexity hinders practical deployment and scalability. Also, long-context management poses… Read More »Sibyl: An AI Agent Framework Designed to Enhance the Capabilities of LLMs in Complex Reasoning Tasks Shoaib Nazir Artificial Intelligence Category – MarkTechPost
[[{“value”:” Evaluating the effectiveness of Large Language Model (LLM) compression techniques is a crucial challenge in AI. Compression methods like quantization aim to optimize LLM efficiency by reducing computational costs and latency. However, traditional evaluation practices focus primarily on accuracy metrics, which fail to capture… Read More »Beyond Accuracy: Evaluating LLM Compression with Distance Metrics Aswin Ak Artificial Intelligence Category – MarkTechPost
Power of Voice Chatbots When scientists at Bells Labs created the Voder machine in the 1930s, they probably didn’t expect the current phase of automated voice chatbots. Over the past two or three years, voice chatbots have undergone a sea change, and now armed with Generative… Read More »Unleashing the Power of Voice Chatbots in Customer Support Devashish Datt Mamgain Chatbots Life – Medium
[[{“value”:” For recruiters, finding the right candidates—whether they’re applying inward or outbound—is a laborious and time-consuming process. The results are longer hiring processes, lost chances, and less-than-ideal hiring choices. Meet Serra: an AI-powered candidate search engine that helps recruiters locate the right inbound and outbound… Read More »Meet Serra: An AI-Driven Search Engine for Recruiters to Find Best-Fit Candidates both Within Their ATS and Outside of It Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost
[[{“value”:” Open-source software powers a vast array of technologies we use daily, from web browsers to operating systems, and creates a community of developers to promote innovations. Maintaining open-source projects requires repetitive tasks like bug triage and code review can consume a lot of time.… Read More »Google Announces Project Oscar: A Reference for an AI Agent that Helps with Open Source Project Maintenance Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large Language Models (LLMs) have made significant strides in artificial intelligence, but their ability to process complex structured data, particularly graphs, remains challenging. In our interconnected world, a substantial portion of real-world data inherently possesses a graph structure, including the Web, e-commerce systems, and… Read More »G-Retriever: Advancing Real-World Graph Question Answering with RAG and LLMs Mohammad Asjad Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large language models (LLMs) are central to advancements in artificial intelligence, focusing on enhancing the models’ ability to follow detailed instructions. This area of research encompasses methods to improve the quality and complexity of datasets used for training LLMs, ultimately leading to more sophisticated… Read More »Microsoft Researchers Propose Auto Evol-Instruct: An End-to-End AI Framework that Evolves Instruction Datasets Using Large Language Models without Any Human Effort Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Spatiotemporal prediction is a critical area of research in computer vision and artificial intelligence. It leverages historical data to predict future events. This technology has significant implications across various fields, such as meteorology, robotics, and autonomous vehicles. It aims to develop accurate models to… Read More »PredBench: A Comprehensive AI Benchmark for Evaluating 12 Spatio-Temporal Prediction Methods Across 15 Diverse Datasets with Multi-Dimensional Analysis Sana Hassan Artificial Intelligence Category – MarkTechPost