Unite.AI

JUNE 13, 2023

Best Features: Predictive code generation: GitHub Copilot goes beyond simple auto-completion. Cody by Sourcegraph Cody is another AI-driven coding assistant, this one developed by Sourcegraph. The tool offers an impressive set of features that extend beyond the scope of code completion.

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Marktechpost

NOVEMBER 13, 2023

Auto-labeling methods that automatically produce sensor data labels have recently gained more attention. Auto-labeling may provide far bigger datasets at a fraction of the expense of human annotation if its computational cost is less than that of human annotation and the labels it produces are of comparable quality.

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Unite.AI

OCTOBER 2, 2023

Its AI models are adept at identifying and isolating significant moments from the videos while maintaining their context and structure, thus offering an output that is as cohesive and concise as human-edited ones. Top Features of ClipMaker: AI-Driven Clip Generation: Streamlines the creation of engaging clips from YouTube videos.

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Unite.AI

AUGUST 30, 2023

When comparing ChatGPT with Autonomous AI agents such as Auto-GPT and GPT-Engineer, a significant difference emerges in the decision-making process. Generative AI models like transformers are the State-of-the-Art core technology, driving these autonomous AI agents. Massive Update for Auto-GPT: Code Execution! ??

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IBM Journey to AI blog

SEPTEMBER 19, 2023

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. It can also modernize legacy code and translate code from one programming language to another.

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Unite.AI

OCTOBER 30, 2023

We immediately saw how this could help lawyers draft bespoke agreements, while also helping them intelligently “auto-complete” contracts. In the first version of our product, we offered a sophisticated auto-complete feature, similar to Github Copilot. How is the data sourced to train the AI models?

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AWS Machine Learning Blog

JANUARY 7, 2025

It is critical for AI models to capture not only the context, but also the cultural specificities to produce a more natural sounding translation. Also note the completion metrics on the left pane, displaying latency, input/output tokens, and quality scores. the natural French translation would be very different.

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Marktechpost

DECEMBER 18, 2024

GitHub Copilot GitHub Copilot, a product of collaboration between OpenAI and GitHub, is a code-generation tool that uses OpenAI’s Codex model. It suggests code snippets and even completes entire functions based on natural language prompts. Lobe Lobe by Microsoft enables developers to train AI models without writing code.

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AssemblyAI

SEPTEMBER 4, 2024

Conversation Intelligence platforms , for example, transcribe calls using speech recognition models and then apply additional Speech AI models to this data to analyze calls at scale, automate personalized responses, coach customer service representatives, identify industry trends, and more.

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Flipboard

JUNE 20, 2023

Their generative model is able to generate several realistic scenarios (right) with proper human-scene interaction that take into account the locations and postures of the person. Given an empty floor plan and a human motion sequence, MIME predicts the furniture that will come into contact with the human.

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AssemblyAI

JULY 24, 2023

Many platforms are releasing advanced AI-powered features that ease video creation, such as AI subtitle generators. Many AI subtitle generators augment videos using state-of-the-art AI models that automatically add highly accurate subtitles to videos prior to publishing. How do AI subtitle generators work?

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Unite.AI

DECEMBER 9, 2024

I'll finish the article by comparing HARPA AI with my top three alternatives ( Jasper , Synthesia , and Murf ). Verdict HARPA AI automates tasks securely in your browser with over 100 commands and support for top AI models. Supports multiple AI models including GPT-4, ChatGPT, and Claude 3.5. and Gemini.

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Towards AI

APRIL 15, 2023

Uncover the Extraordinary Potential of Self-Prompting AI Models and Their Role in Shaping Our Future Envision a scenario where an AI-powered army works collaboratively to identify tasks and solve a given problem efficiently. Effective memory management: Auto-GPT has effective long-term and short-term memory management.

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Robot Writers AI

NOVEMBER 10, 2024

Too Many ‘Major AI Product Releases’ Not Ready for Prime Time Back in my garage-band playing days, I remember turning to the group’s rhythm guitarist during a rehearsal and letting him know that his top strings were all flat. ” Unfortunately, that completely juvenile, “I”m-to-cool-to-give-a-damn?”

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NVIDIA

MARCH 18, 2024

These technologies together enable NVIDIA Avatar Cloud Engine , or ACE, and multimodal language models to work together with the NVIDIA DRIVE platform to let automotive manufacturers develop their own intelligent in-car assistants. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

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AWS Machine Learning Blog

JUNE 13, 2023

One of the significant challenges in AI processing is the efficient utilization of hardware resources such as GPUs. To tackle this challenge, Forethought uses SageMaker multi-model endpoints (MMEs) to run multiple AI models on a single inference endpoint and scale. 2xlarge instances. These particular instances offer 15.5

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AWS Machine Learning Blog

APRIL 19, 2024

At the same time, our generative AI models automatically design molecules targeting improvement across numerous properties, searching millions of candidates, and requiring enormous throughput and medium latency. The generated data points are automatically processed and used to fine-tune our AI models every week.

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Unite.AI

MAY 29, 2024

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. Typically, the generative AI model provides a prompt describing the desired data, and the ensuing response contains the extracted data.

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NVIDIA

OCTOBER 17, 2023

At higher batch sizes, this acceleration significantly improves the experience for more sophisticated LLM use — like writing and coding assistants that output multiple, unique auto-complete results at once. As a result, AI-enhanced images more accurately preserve details during the upscaling process.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

For years, Rad AI has been a reliable partner to radiology practices and health systems, consistently delivering high availability and generating complete results seamlessly in 0.5–3 In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker. 3 seconds, with minimal latency.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

With the SageMaker HyperPod auto-resume functionality, the service can dynamically swap out unhealthy nodes for spare ones to ensure the seamless continuation of the workload. Also included are SageMaker HyperPod cluster software packages, which support features such as cluster health check and auto-resume.

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NVIDIA

JUNE 7, 2024

Effective and precise AI models require training on extensive datasets. Enterprises seeking to harness the power of AI must establish a data pipeline that involves extracting data from diverse sources, transforming it into a consistent format and storing it efficiently.

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AWS Machine Learning Blog

MARCH 13, 2025

In this post, we demonstrate how to optimize hosting DeepSeek-R1 distilled models with Hugging Face Text Generation Inference (TGI) on Amazon SageMaker AI. Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture.

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Flipboard

MARCH 18, 2025

Its been gradual, but generative AI models and the apps they power have begun to measurably deliver returns for businesses. Organizations across many industries believe their employees are more productive and efficient with AI tools such as chatbots and coding assistants at their side.

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NVIDIA

MARCH 6, 2024

AI can be thought of as the ability for a device to perform tasks autonomously, by ingesting and analyzing enormous amounts of data, then recognizing patterns in that data — often referred to as being “trained.” For this reason, AI is broadly seen as both disruptive and highly transformational. It’s up to 4.5x faster on RTX vs. Mac.

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IBM Journey to AI blog

JULY 17, 2023

Generative AI has the potential to significantly disrupt customer care, leveraging large language models (LLMs) and deep learning techniques designed to understand complex inquiries and offer to generate more human-like conversational responses.

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Unite.AI

AUGUST 1, 2023

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.

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IBM Journey to AI blog

JANUARY 26, 2024

High cost of equipment maintenance : Due to the many auto parts, maintenance personnel need to master a more comprehensive failure analysis and diagnosis capabilities, resulting in a lot of investment in manpower, material and financial resources.

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NVIDIA

APRIL 3, 2024

ACE microservices allow developers to integrate state-of-the-art generative AI models into digital avatars in games and applications. NPCs tap up to four AI models to hear, process, generate dialogue and respond. With ACE microservices, NPCs can dynamically interact and converse with players in-game and in real time.

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Marktechpost

DECEMBER 4, 2023

Engineered to enable developers to produce superior code with greater efficiency, Copilot operates on the foundation of OpenAI’s Codex language model. This model is trained on both natural language and a broad database of public code, allowing it to offer insightful suggestions.

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NVIDIA

JULY 24, 2024

Adobe Firefly is Adobe’s family of creative generative AI models that offer new ways to ideate and create while assisting creative workflows using generative AI. NVIDIA will continue working with Adobe to support advanced generative AI models, with a focus on deep integration into the apps the world’s leading creators use.

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Marktechpost

OCTOBER 25, 2024

A major challenge in AI research is how to develop models that can balance fast, intuitive reasoning with slower, more detailed reasoning in an efficient way. In AI models, this dichotomy between the two systems mostly presents itself as a trade-off between computational efficiency and accuracy.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

These customers are looking into foundation models, such as TII Falcon, Stable Diffusion XL, or OpenAI’s GPT-3.5, as the engines that power the generative AI innovation. To make sure that our endpoint can scale down to zero, we need to configure auto scaling on the asynchronous endpoint using Application Auto Scaling.

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AWS Machine Learning Blog

JULY 9, 2024

As generative artificial intelligence (AI) inference becomes increasingly critical for businesses, customers are seeking ways to scale their generative AI operations or integrate generative AI models into existing workflows. In the following code, we set up a ModelBuilder class for the SageMaker JumpStart model.

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AWS Machine Learning Blog

AUGUST 22, 2024

With AI-powered analysis, the process of reviewing an average file of a few hundred pages is reduced to minutes with Discovery Navigator. It employs sophisticated AI to extract medical information from records, providing users with structured information that can be easily reviewed and uploaded into their claims management system.

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Towards AI

FEBRUARY 12, 2024

With the release of models like Orca 2, and the latter showcased as a Small Language Model (SLM), there is another step forward in this specific direction. SLMs like Orca mimic the reasoning process of larger AI models despite exhibiting a lesser number of parameters than conventional models.

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Unite.AI

APRIL 23, 2024

Our platform also gives authorised users full visibility into our AI-powered answers. The risks of ‘shadow’ AI can be substantial for businesses. ‘Shadow AI' refers to when employees bolt AI tools (like ChatGPT) onto their work systems for the sake of ease and efficiency, without their employer knowing or consenting to the technology.

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