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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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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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

MAY 17, 2024

FMs and LLMs, even though they’re pre-trained, can continue to learn from data inputs or prompts during inference. A prompt is the information you pass into an LLM to elicit a response. This includes task context, data that you pass to the model, conversation and action history, instructions, and even examples.

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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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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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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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AWS Machine Learning Blog

MAY 2, 2024

This post showcases a reward modeling technique to efficiently customize LLMs for an organization by programmatically defining rewards functions that capture preferences for model behavior. We demonstrate an approach to deliver LLM results tailored to an organization without intensive, continual human judgement.

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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

SEPTEMBER 12, 2024

Hallucinations – LLMs have a remarkable ability to respond to natural language, and clearly encode significant amounts of knowledge. An LLM doesn’t model facts so much as it models language. Legal research is a critical area for Thomson Reuters customers—it needs to be as complete as possible. 55 440 0.1

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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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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. In this post, we explore best practices for prompting the Llama 2 Chat LLM.

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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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Artificial Corner

AUGUST 29, 2023

If you want to scale up your projects or even simply use more powerful AI models, you need more resources. In this article, we will explore beam.cloud , an easy and powerful swiss-army-knife for running LLMs and code directly on the cloud. I don’t even have an Nvidia GPU so I am stuck with my 16 GB of RAM and my CPU.

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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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AWS Machine Learning Blog

MAY 1, 2024

Llama2 by Meta is an example of an LLM offered by AWS. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. This results in faster restarts and workload completion.

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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 14, 2023

Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. Fine-tuning allows you to adjust these generative AI models to achieve improved performance on your domain-specific tasks. The code is provided by the model authors in the repo.

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Unite.AI

NOVEMBER 2, 2023

Marketing optimization: One of the major advantages of AI-powered call insights is the ease of integrating it with different systems, including CRM platforms like HubSpot and various marketing automation tools. hours of english audio data LeMUR – LLM utilized to analyze spoken data.

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The MLOps Blog

JANUARY 19, 2024

Imagine you’re facing the following challenge: you want to develop a Large Language Model (LLM) that can proficiently respond to inquiries in Portuguese. You have a valuable dataset and can choose from various base models. We will fine-tune different foundation LLM models on a dataset, evaluate them, and select the best model.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

ANLS is a metric used to evaluate the performance of models on visual question answering tasks, which measures the similarity between the model’s predicted answer and the ground truth answer. By fine-tuning these models using SageMaker JumpStart, we were able to further enhance their abilities, boosting the ANLS scores to 91 and 92.4.

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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

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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AWS Machine Learning Blog

APRIL 16, 2024

To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret. Complete the following steps: On the Secrets Manager console, choose Store a new secret. This adaptation is facilitated through the use of LLM prompts. For Secret type , choose Other type of secret.

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Flipboard

DECEMBER 13, 2024

Faster deployment With domain adaptation, specialized AI models can be developed and deployed more quickly, accelerating time to market for AI-powered solutions. AWS has been at the forefront of domain adaptation, creating a framework to allow creating powerful, specialized AI models.

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The MLOps Blog

JUNE 27, 2023

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? The platform’s labeling capabilities include flexible label function creation, auto-labeling, active learning, and so on.

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Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. 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

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. 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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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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John Snow Labs

JUNE 27, 2023

What are Large Language Models (LLMs)? Large language models (LLMs) are precisely that – advanced AI models designed to process, understand, and generate natural language in a way that mimics human cognitive capabilities. and GPT-4, marked a significant advancement in the field of large language models.

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Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. Others, toward language completion and further downstream tasks.

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Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. Others, toward language completion and further downstream tasks.

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AWS Machine Learning Blog

JULY 16, 2024

NVIDIA NeMo Framework NVIDIA NeMo is an end-to-end cloud-centered framework for training and deploying generative AI models with billions and trillions of parameters at scale. NVIDIA NeMo simplifies generative AI model development, making it more cost-effective and efficient for enterprises.

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Unite.AI

SEPTEMBER 4, 2023

However, the world of LLMs isn't simply a plug-and-play paradise; there are challenges in usability, safety, and computational demands. In this article, we will dive deep into the capabilities of Llama 2 , while providing a detailed walkthrough for setting up this high-performing LLM via Hugging Face and T4 GPUs on Google Colab.

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AssemblyAI

MARCH 11, 2024

Now, LLMs can create content, write stories, solve complex problems, and even mimic human-like conversations with uncanny accuracy. Below, we'll walk you through all the top LLM use cases and applications in 2024. What is an LLM (and what do you use it for)? This LLM use case makes education more accessible and practical.

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Unite.AI

MAY 28, 2024

MonsterAPI leverages lower cost commodity GPUs from crypto mining farms to smaller idle data centres to provide scalable, affordable GPU infrastructure for machine learning, allowing developers to access, fine-tune, and deploy AI models at significantly reduced costs without writing a single line of code.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Visual language processing (VLP) is at the forefront of generative AI, driving advancements in multimodal learning that encompasses language intelligence, vision understanding, and processing. Solution overview The proposed VLP solution integrates a suite of state-of-the-art generative AI modules to yield accurate multimodal outputs.

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