How to Calculate Cost Per Interaction in a Contact Center

Implementing Self-Refine Technique Using Large Language Models (LLMs) The Self-Refine technique is a transformative approach in utilizing Large Language Models (LLMs) for various tasks such as reasoning, code generation, and content creation. By allowing the model…

The BBC has blocked OpenAI’s ChatGPT bot and the Common Crawl bot from scraping its news and media content. The decision follows a trend of websites blocking AI bots from using their data to train AI…

Revolutionizing Software Development with LLMs Large Language Models (LLMs) have transformed how software is developed by automating coding tasks. They help bridge the gap between natural language and programming languages. However, they face challenges in specialized…

Practical Solutions and Value of Small Language Models (SLMs) in the Age of Large Language Models (LLMs) Overview Large Language Models (LLMs) have transformed natural language processing, but their size brings challenges. Smaller Language Models (SLMs)…

Enhancing Efficiency in Deep Learning through Weight Quantization Enhancing Efficiency in Deep Learning through Weight Quantization Introduction In today’s competitive landscape, optimizing deep learning models for deployment in environments with limited resources is crucial. Weight quantization…

Kolmogorov-Test: Enhancing AI Code Generation Understanding the Kolmogorov-Test: A New Benchmark for AI Code Generation The Kolmogorov-Test (KT) represents a significant advancement in evaluating the capabilities of code-generating language models. This benchmark focuses on assessing how…

Researchers at Los Alamos National Laboratory have developed a new artificial intelligence (AI) approach called Senseiver that allows for efficient data processing. Senseiver uses a neural network to represent extensive data with minimal computational resources, reducing…

Revolutionizing Computer Vision with Olympus Computer vision has advanced significantly in tasks like object detection, segmentation, and classification. However, real-world applications such as autonomous vehicles, security, and healthcare require multiple tasks to work together. Managing different…

We are creating a risk evaluation blueprint for large language models (LLMs) aiding in biological threat creation. Initial testing with biology experts and students found that GPT-4 only slightly improves accuracy. While inconclusive, this encourages further…

This article discusses the implementation of semantic search using PostgreSQL and OpenAI Embeddings. It explains how word embeddings capture semantic relationships between words and demonstrates how to utilize text-embedding-ada model and cosine similarity for sorting reviews.…

Large multimodal models like LLaVA, MiniGPT4, mPLUG-Owl, and Qwen-VL have made rapid progress in handling and analyzing various types of data. However, there are obstacles to overcome, such as dealing with complex scenarios and the need…

OpenAI’s New Customer Service Agent Demo OpenAI has recently made waves in the AI community by releasing a new open-sourced customer service demo on GitHub. This project, known as the openai-cs-agents-demo, showcases how businesses can develop…

Jina AI Launches g.jina.ai: A Solution for Misinformation Jina AI has introduced g.jina.ai, a tool aimed at combating misinformation in generative AI models. This product enhances the accuracy of AI-generated and human-written content by integrating real-time…

Understanding Large Language Models (LLMs) Large language models (LLMs) are powerful AI systems that perform well on many tasks. Models like GPT-3, PaLM, and Llama-3.1 contain billions of parameters, which help them excel in various applications.…

Overcoming Challenges with Large Language Models Organizations often struggle to implement Large Language Models (LLMs) for complex workflows. Issues such as speed, flexibility, and scalability make it hard to automate processes that need coordination across different…

Researchers used machine learning to analyze artwork authenticity, particularly focusing on Raphael’s Madonna della Rosa. The AI, utilizing techniques such as deep feature analysis and ResNet50 model, identified inconsistencies in the painting, suggesting that Raphael’s pupil…

Using Git and Git Bash: A Business Guide Using Git and Git Bash Locally: A Business Guide Table of Contents Introduction Installation Windows macOS Linux Basic Git Commands Git Configuration Git Workflow Creating a Repository Committing…

“`html Practical Business Solutions with LLM-MA Systems Introduction to LLM-MA Systems LLM-based multi-agent (LLM-MA) systems allow multiple language model agents to work together on complex tasks by sharing responsibilities. These systems are beneficial in various fields…