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8 Ways Automatic Speech Recognition Can Increase Efficiency For Your Business

AssemblyAI

Using Automatic Speech Recognition (also known as speech to text AI , speech AI, or ASR), companies can efficiently transcribe speech to text at scale, completing what used to be a laborious process in a fraction of the time. And that’s just a glimpse of what’s possible. Content management 2.

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7 best transcript summarizers powered by AI

AssemblyAI

The company is constantly shipping new updates and improvements for its numerous Speech AI models, including speech recognition, streaming speech-to-text, summarization, content moderation, sentiment analysis, and more. 

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AI code-generation software: What it is and how it works

IBM Journey to AI blog

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. How does generative AI code generation work?

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TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

Unite.AI

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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Striking Performance: Large Language Models up to 4x Faster on RTX With TensorRT-LLM for Windows

NVIDIA

And GeForce RTX and NVIDIA RTX GPUs, which are packed with dedicated AI processors called Tensor Cores, are bringing the power of generative AI natively to more than 100 million Windows PCs and workstations. This follows the announcement of TensorRT-LLM for data centers last month.

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Making Sense of the Mess: LLMs Role in Unstructured Data Extraction

Unite.AI

Source: A pipeline on Generative AI This figure of a generative AI pipeline illustrates the applicability of models such as BERT, GPT, and OPT in data extraction. These LLMs can perform various NLP operations, including data extraction. Image and Document Processing Multimodal LLMs have completely replaced OCR.

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ChatGPT & Advanced Prompt Engineering: Driving the AI Evolution

Unite.AI

OpenAI has been instrumental in developing revolutionary tools like the OpenAI Gym, designed for training reinforcement algorithms, and GPT-n models. The spotlight is also on DALL-E, an AI model that crafts images from textual inputs. Generative models like GPT-4 can produce new data based on existing inputs.