Large Language Model (LLM)
Compare Top 15+ Legal AI Software: Key Features & Pricing in '24
A recent report found that 44% of tasks in the legal industry could be automated using generative artificial intelligence (AI), and 40% of legal firms and professionals are already experimenting with this technology.
What are Top 10 LLM Security Risks & Why do They Matter? in '24
Based on the latest GenAI statistics, 71% of surveyed IT leaders express concerns about potential security vulnerabilities introduced by the implementation of generative AI. This forward-looking perspective underscores a growing interest in implementing security measures for GenAI tools, particularly large language models (LLMs).
Compare 15 LLM Security Tools & Open-Source Frameworks in '24
Chevrolet of Watsonville, a car dealership, introduced a ChatGPT-based chatbot on their website. However, the chatbot falsely advertised a car for $1, potentially leading to legal consequences and resulting in a substantial bill for Chevrolet. Incidents like these highlight the importance of implementing security measures to LLM applications.
Why Should You Use Cloud Inference (Inference as a Service) in 2024?
Figure 1. Popularity of the keyword “cloud inference” on Google search engine worldwide in the past 5 years. Deep learning models have emerged as powerful tools in areas like speech recognition and image classification, even surpassing human performance in tasks such as object classification and real-time strategy games.
In-Depth Guide to Cloud Large Language Models (LLMs) in 2024
Figure 1. The increasing popularity of the keyword “cloud LLM” on Google since the release of ChatGPT-3.5 in November 2022. Large Language Models (LLMs) have become a hot topic for businesses, especially after the release of ChatGPT-3.5 to the market in 2022.
Large Multimodal Models (LMMs) vs Large Language Models (LLMs)
Large multimodal models (LMMs) represent a significant breakthrough, capable of interpreting diverse data types like text, images, and audio. However, their complexity and data requirements pose potential challenges. Innovations in AI research are aiming to overcome these challenges, promising a new era of intelligent technology.
LLM Data Guide & 6 Methods of Collection in 2024
In the rapidly growing market of artificial intelligence (AI) and generative AI (Figure 1), one term that has taken center stage is ‘large language models’, or LLMs. These vast models enable machines to create content like humans. Data plays a foundational role in shaping the behavior, expertise, and range of these models.
12 Retrieval Augmented Generation (RAG) Tools / Software in '24
Generative AI stats show that Gen AI tools and models like (ChatGPT) can automate knowledge intensive NLP tasks that make up 60% to 70% of employees’ time. Yet, 56% of business leaders consider AI-generated content biased or inaccurate, lowering the adoption rate of LLMs.
Large Language Models in Healthcare: Examples & 10 Use Cases in 2024
The healthcare industry, full of vast amounts of patient data and medical literature, seeks efficient ways to use this information for better patient outcomes. Traditional methods of data analysis and manual interpretation are time-consuming and often lag behind the rapid pace of medical advancements, potentially compromising patient care.
Guide to RLHF LLMs in 2024: Benefits & Top Vendors
With the outbreak of generative AI and chatbots, the interest in LLMs has rapidly grown in the last couple of years. However, RLHF has seen relatively less growth. Despite its impressive results in the development of AI, generative AI, and LLMs, RLHF is a relatively new approach that many executives still don’t know about.