Unite.AI

OCTOBER 30, 2023

Scott Stevenson, is Co-Founder & CEO of Spellbook , a tool to automate legal work that is built on OpenAI's GPT-4 and other large language models (LLMs). Spellbook is further tuning the model using proprietary legal datasets. How does Spellbook suggest language for legal contracts?

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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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AWS Machine Learning Blog

NOVEMBER 26, 2024

Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. 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

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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. Could this be the dawn of artificial general intelligence?

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AWS Machine Learning Blog

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. The model employs a chain-of-thought (CoT) approach that systematically breaks down complex queries into clear, logical steps. 48xlarge , ml.g6e.12xlarge

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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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AWS Machine Learning Blog

JUNE 13, 2023

SupportGPT leverages state-of-the-art Information Retrieval (IR) systems and large language models (LLMs) to power over 30 million customer interactions annually. Forethought uses per-customer fine-tuned models to detect customer intents in order to solve customer interactions. 2xlarge instances.

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NVIDIA

MARCH 18, 2024

NVIDIA GTC , running this week at the San Jose Convention Center, will spotlight the groundbreaking work NVIDIA and its partners are doing to bring the transformative power of generative AI , large language models and visual language models to the mobility sector.

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John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

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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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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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ODSC - Open Data Science

MARCH 1, 2024

Open Data Science Blog Recap Paris-based Mistral AI is emerging as a formidable challenger to industry giants like OpenAI and Anthropic. Auto Prompt is a prompt optimization framework designed to enhance and perfect your prompts for real-world use cases and automatically generates high-quality, detailed prompts tailored to user intentions.

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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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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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NVIDIA

AUGUST 9, 2023

Generative AI is a force multiplier enabling leaps in productivity and creativity for nearly every industry, particularly transportation, where it’s streamlining workflows and driving new business. Beyond the automotive product lifecycle, generative AI is also enabling new breakthroughs in autonomous vehicle (AV) development.

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AWS Machine Learning Blog

JULY 24, 2024

They are committed to enhancing the performance and capabilities of AI models, with a particular focus on large language models (LLMs) for use with Einstein product offerings. These models are designed to provide advanced NLP capabilities for various business applications.

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AWS Machine Learning Blog

MAY 4, 2023

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex.

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AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English.

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AWS Machine Learning Blog

MAY 17, 2024

Large language models (LLMs) are one class of FMs. LLMs are specifically focused on language-based tasks such as summarization, text generation, classification, open-ended conversation, and information extraction. For most reviews, the system auto-generates a reply using an LLM.

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AWS Machine Learning Blog

MAY 2, 2024

As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. logits r_l = model(rejected_input_ids, rejected_attention_mask).logits

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and advance how they do their work, helping professionals draw insights and automate workflows, enabling them to focus their time where it matters most. Ankit Anand is a Senior Foundation Models Go-To-Market (GTM) Specialist at AWS.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. Its model parameters scale from an impressive 7 billion to a remarkable 70 billion. Assistant: Wow, you must be really curious about language models!

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Marktechpost

JULY 11, 2023

The major reason for the exponentially increasing popularity is the development of Large Language Models. LLMs, the Artificial Intelligence models that are designed to process natural language and generate human-like responses, are trending. Auto-GPT uses GPT-4 and a simple programming language to perform tasks.

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AWS Machine Learning Blog

MAY 30, 2023

Furthermore, the CPUUtilization metric shows a classic pattern of periodic high and low CPU demand, which makes this endpoint a good candidate for auto scaling. For information, see Automatically Scale Amazon SageMaker Models. If all are successful, then the batch transform job is marked as complete.

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The MLOps Blog

JUNE 27, 2023

Is it accessible from your language/framework/infrastructure, framework, or infrastructure? Model versioning, lineage, and packaging : Can you version and reproduce models and experiments? Can you see the complete model lineage with data/models/experiments used downstream? Can you render audio/video?

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AWS Machine Learning Blog

MAY 31, 2024

What is the Falcon 2 11B model Falcon 2 11B is the first FM released by TII under their new artificial intelligence (AI) model series Falcon 2. It’s a next generation model in the Falcon family—a more efficient and accessible large language model (LLM) that is trained on a 5.5

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Flipboard

DECEMBER 13, 2024

Generative AI , AI, and machine learning (ML) are playing a vital role for capital markets firms to speed up revenue generation, deliver new products, mitigate risk, and innovate on behalf of their customers. AWS has been at the forefront of domain adaptation, creating a framework to allow creating powerful, specialized AI models.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Complete the following steps to edit an existing space: On the space details page, choose Stop space. To start using Amazon CodeWhisperer, make sure that the Resume Auto-Suggestions feature is activated. Choose Create JupyterLab space. For Name , enter a name for your Space. Choose Create space. Choose Run space to relaunch the space.

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Artificial Corner

JUNE 11, 2024

They named their AI initiative Apple Intelligence. It's important to note that Apple already had AI functions in its devices before all this. For example, when cropping unwanted objects from photos or auto-completing words or phrases on the keyboard. However, they will only be compatible with high-end Apple devices.

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Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

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Snorkel AI

JUNE 7, 2023

They focussed largely on the challenges and opportunities in leveraging large language models and foundation models , as well as data-centric AI development approaches. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set.

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AWS Machine Learning Blog

APRIL 17, 2023

Sparked by the release of large AI models like AlexaTM , GPT , OpenChatKit , BLOOM , GPT-J , GPT-NeoX , FLAN-T5 , OPT , Stable Diffusion , and ControlNet , the popularity of generative AI has seen a recent boom. DeepSpeed and FasterTransformer have support for pre-partitioning and saving for models.

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AWS Machine Learning Blog

APRIL 16, 2024

Then we show how you can enhance the in-notebook SQL experience using Text-to-SQL capabilities provided by advanced large language models (LLMs) to write complex SQL queries using natural language text as input. Complete the following steps: On the Secrets Manager console, choose Store a new secret.

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Artificial Corner

AUGUST 29, 2023

Spark conversations through the cloud with serverless GPUs powering your most advanced Hugging Face large language models. For developers working with large language models, the constraints of hardware can often hold back the boundaries of what’s possible. image created by the author and Leonardo.ai

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Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. Billions of parameters.

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Snorkel AI

MARCH 2, 2023

Today we’re going to be talking essentially about how responsible generative-AI-model adoption can happen at the enterprise level, and what are some of the promises and compromises we face. The foundation of large language models started quite some time ago. Billions of parameters.

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Viso.ai

MAY 29, 2024

Some original Tesla features are embedded into the robot, such as a self-running computer, autopilot cameras, a set of AI tools, neural network planning , auto-labeling for objects, etc. The data from multiple sensors are combined and processed to create a complete understanding of the environment.

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