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. How does generative AI code generation work?

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Unite.AI

SEPTEMBER 13, 2024

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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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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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. These LLMs can perform various NLP operations, including data extraction. Image and Document Processing Multimodal LLMs have completely replaced OCR.

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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.

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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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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

MARCH 25, 2025

Botpress Botpress is an open-sourceorigin platform and one of the most developer-friendly options for building AI chatbots and virtual agents. It provides a complete toolkit to design, train, and deploy AI-driven support bots, harnessing the latest in large language models (LLMs). Visit Dante 4.

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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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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

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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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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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 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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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

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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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

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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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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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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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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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

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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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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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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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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