How to build a chatbot using ChatGPT? Chatbots have gained significant popularity in recent years, providing businesses with an efficient way to interact with customers and users. ChatGPT, developed by OpenAI, is a powerful language model that can be leveraged to build intelligent and… Read More »Build a chatbot using ChatGPT? Narender Kumar Spark By {Examples}
Have you ever wondered how data is stored on your computer or transferred between applications? The answer lies in serialization, a process that converts complex data structures into a format that can be easily stored and transported. In programming, serialization plays a crucial role… Read More »What is Serialization in Programming Seb Programmathically
The creative industries have witnessed a new era of possibilities with the advent of generative models—computational tools capable of generating texts or images based on training data. Inspired by these advancements, researchers from Stanford University, UC Berkeley, and Adobe Research have introduced a novel… Read More »Researchers from Stanford, UC Berkeley, and Adobe Research have Developed a New AI Model that can Realistically Insert Specific Humans into Different Scenes Niharika Singh Artificial Intelligence Category – MarkTechPost
When trained on massive datasets, huge unsupervised LMs acquire powers that surprise even their creators. These models, however, are trained on information produced by people with a diverse range of motivations, objectives, and abilities. Not all of these ambitions and abilities may be emulated.… Read More »Do You Really Need Reinforcement Learning (RL) in RLHF? A New Stanford Research Proposes DPO (Direct Preference Optimization): A Simple Training Paradigm For Training Language Models From Preferences Without RL Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
On-device automatic speech recognition systems face several challenges compared to server-based systems. They have to meet stricter constraints in terms of speed, disk size and memory while maintaining the same accuracy. Often they have to serve several applications with different distributions at once, such as… Read More »Application-Agnostic Language Modeling for On-Device ASR Apple Machine Learning Research
At the ISC23 keynote, Intel announced Aurora genAI – a science-focused generative AI model with a trillion parameters, almost six times more than in the free and public versions of ChatGPT. This news has sparked conversations about all the possibilities this model can unlock.… Read More »Intel Unveils Aurora genAI: A Trillion-Parameter AI Model to Revolutionize Scientific Breakthroughs and Predict the Unseen Anant shahi Artificial Intelligence Category – MarkTechPost
The advent of chatbots driven by artificial intelligence has significantly impacted how humans communicate with one another, acquire new knowledge, and carry out repetitive tasks. Telegram, one of the most popular messaging systems, has embraced this trend by providing a home for numerous innovative… Read More »Best Telegram AI Chatbots in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost
Since the advent of large-scale image-text pairings and sophisticated generative model topologies like diffusion models, generative models have made tremendous progress in producing high-fidelity 2D pictures. These models eliminate manual involvement by allowing users to create realistic visuals from text cues. Due to the… Read More »Meet StyleAvatar3D: A New AI Method for Generating Stylized 3D Avatars Using Image-Text Diffusion Models and a GAN-based 3D Generation Network Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. While the challenges for this technology are centered… Read More »AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR Google AI Google AI Blog
Datasets are often drawn from various domains while training language models (LMs). For instance, a sizable publicly accessible dataset called The Pile has 24% online data, 9% Wikipedia, 4% GitHub, etc. The makeup of the pretraining data significantly impacts how well an LM performs.… Read More »Stanford and Google Researchers Propose DoReMi: An AI Algorithm Reweighting Data Domains for Training Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost