This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
If you're learning a new language , you likely know how frustrating tutoring can be. You're eager to practice a new language, but the tutor’s unavailable or just too expensive. Learning alone can easily feel overwhelming, and finding the right resources is often challenging. I recently came across TalkPal , which is basically a personal language tutor available 24/7!
Introduction OpenAI’s latest models, like GPT-o1 and GPT-4o, excel in delivering accurate, context-aware responses across diverse fields. A key factor behind the advancements in these Large Language Models (LLMs) is their enhanced utility and the significant reduction in common issues like hallucinations. Techniques like retrieval-augmented generation (RAG) enhance accuracy and reduce hallucinations by allowing models […] The post Top 6 LLMs that Support Function Calling appeared fir
AI enthusiasts in all sectors are finding creative ways to implement artificial intelligence’s predictive analytics and modelling capabilities to mitigate climate change. What are some examples across industries where effective installation yields results? Smart Grid Management in the Energy Sector “Urban planners, electricians and engineers are collaborating to grow the grid’s capacity and resilience to support modern demands and green generators.
Start building the AI workforce of the future with our comprehensive guide to creating an AI-first contact center. Learn how Conversational and Generative AI can transform traditional operations into scalable, efficient, and customer-centric experiences. What is AI-First? Transition from outdated, human-first strategies to an AI-driven approach that enhances customer engagement and operational efficiency.
It is common for Exchange Administrators to convert Exchange Database (EDB) file data to PST. There are different reasons why they need to convert the EDB data to PST. Some common reasons include: Migration of mailboxes or other data to another system Archiving of mailboxes. Extracting data from orphaned databases or old servers. Recovering data from databases after failure of the server.
Meta AI research team has introduced MovieGen, a suite of state-of-the-art (SotA) media foundation models that are set to revolutionize how we generate and interact with media content. This super cool development encompasses innovations in text-to-video generation, video personalization, and video editing, all while supporting personalized video creation using user-provided images.
Meta AI research team has introduced MovieGen, a suite of state-of-the-art (SotA) media foundation models that are set to revolutionize how we generate and interact with media content. This super cool development encompasses innovations in text-to-video generation, video personalization, and video editing, all while supporting personalized video creation using user-provided images.
It is common for Exchange Administrators to convert Exchange Database (EDB) file data to PST. There are different reasons why they need to convert the EDB data to PST. Some common reasons include: Migration of mailboxes or other data to another system Archiving of mailboxes. Extracting data from orphaned databases or old servers. Recovering data from databases after failure of the server.
Omni-modal large language models (LLMs) are at the forefront of artificial intelligence research, seeking to unify multiple data modalities such as vision, language, and speech. The primary goal is to enhance the interactive capabilities of these models, allowing them to perceive, understand, and generate outputs across diverse inputs, just as a human would.
Advancements in Extended Reality (XR) have allowed for the fusion of real-world entities within the virtual world. However, despite the innumerable sensors, plethora of cameras, and expensive computer vision techniques, this integration poses a few critical questions. 1 ) Does this blend truly capture the essence of real-world objects or merely treat them as a backdrop?
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
Retrieval Augmented Generation (RAG) has become a popular approach to harness LLMs for question answering using your own corpus of data. Typically, the context to augment the query that is passed into the Large Language Model (LLM) to generate an answer comes from a database or search index containing your domain data.
Google has launched the “ gemma-2-2b-jpn-it ” model, a new addition to its Gemma family of language models. The model is designed to cater specifically to the Japanese language and showcases the company’s continued investment in advancing large language model (LLM) capabilities. Gemma-2-2b-jpn-it stands out as a text-to-text, decoder-only large language model with open weights, which means it is publicly accessible and can be fine-tuned for a variety of text generation tasks, i
OpenAI’s ChatGPT Canvas is an AI-powered workspace that integrates ChatGPT to assist coders and writers in real-time by providing intelligent suggestions, code completions, and content enhancements within a customizable environment that understands context and adapts to individual styles; featuring real-time collaboration, productivity tools like version control and task management, and supporting multiple programming languages and writing formats, Canvas aims to enhance productivity, stre
In a significant stride for radiology, a2z Radiology AI emerged from stealth mode today, unveiling its vision to create an AI-powered safety net for radiologists. The company’s first product, a2z-1, enhances quality assurance (QA) in interpreting abdominal-pelvis CT scans, ensuring no disease is missed. The name “a2z” highlights the AI’s comprehensive approach, aiming to detect all possible conditions from “A to Z.” Focusing on improving radiology practices wi
The guide for revolutionizing the customer experience and operational efficiency This eBook serves as your comprehensive guide to: AI Agents for your Business: Discover how AI Agents can handle high-volume, low-complexity tasks, reducing the workload on human agents while providing 24/7 multilingual support. Enhanced Customer Interaction: Learn how the combination of Conversational AI and Generative AI enables AI Agents to offer natural, contextually relevant interactions to improve customer exp
One of the major challenges in aligning large language models (LLMs) with human preferences is the difficulty in selecting the right reward model (RM) to guide their training. A single RM may excel at tasks like creative writing but fail in more logic-oriented areas like mathematical reasoning. This lack of generalization leads to suboptimal performance and issues like reward hacking.
ChatGPT, a sophisticated language model developed by OpenAI, is revolutionizing the banking industry by providing a diverse array of applications that enhance customer service, streamline internal processes, and support strategic decision-making. The integration of artificial intelligence in banking is positioning ChatGPT as an invaluable tool for bankers seeking to improve efficiency, reduce costs, and deliver an enhanced customer experience.
Large Language Models (LLMs) have become integral to numerous AI systems, showcasing remarkable capabilities in various applications. However, as the demand for processing long-context inputs grows, researchers face significant challenges in optimizing LLM performance. The ability to handle extensive input sequences is crucial for enhancing AI agents’ functionality and improving retrieval augmented generation techniques.
LLMs show great promise as advanced information access engines thanks to their ability to generate long-form, natural language responses. Their large-scale pre-training on vast datasets allows them to answer various questions. Techniques like instruction tuning and reinforcement learning from human feedback further improve the coherence and detail of their responses.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Extracting structured data from unstructured sources like PDFs, webpages, and e-books is a significant challenge. Unstructured data is common in many fields, and manually extracting relevant details can be time-consuming, prone to errors, and inefficient, especially when dealing with large amounts of data. As unstructured data continues to grow exponentially, traditional manual extraction methods have become impractical and error-prone.
The AI research organization Zyphra has recently unveiled two groundbreaking language models, Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct. These models are part of the Zamba2 series and are significant advancements in natural language processing and AI-based instruction. Zamba2-1.2B-Instruct and Zamba2-2.7B-Instruct are designed to deliver enhanced multi-turn chat capabilities and exceptional instruction-following abilities, providing cutting-edge solutions for various applications in the AI l
We organize all of the trending information in your field so you don't have to. Join 15,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content