IBM Journey to AI blog

NOVEMBER 24, 2023

While attempting to drive acceleration and optimize cost of modernization, Generative AI is becoming a critical enabler to drive change in how we accelerate modernization programs. Let us explore the Generative AI possibilities across these lifecycle areas. Subsequent phases are build and test and deploy to production.

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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. With ACE, Riva’s automatic speech recognition (ASR) feature processes what was said and uses AI to deliver a highly accurate transcription in real time.

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AWS Machine Learning Blog

AUGUST 14, 2023

However, we need to ensure that the LLMs limit the responses to company data, thereby mitigating model hallucinations. LLMs have limitations around the maximum word count for the input prompts, so choosing the right passages among thousands or millions of documents in the enterprise has a direct impact on the LLM’s accuracy.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

To summarize, we used the following flags for compilation: NEURON_CC_FLAGS="--target trn1 --auto-cast all --auto-cast-type bf16 --model-type transformer --optlevel O1" Checkpoint compatibility When compilation is successfully complete, we can proceed to train our models on Trainium.

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deepsense.ai

OCTOBER 8, 2023

Usually agents will have: Some kind of memory (state) Multiple specialized roles: Planner – to “think” and generate a plan (if steps are not predefined) Executor – to “act” by executing the plan using specific tools Feedback provider – to assess the quality of the execution by means of auto-reflection.

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ODSC - Open Data Science

AUGUST 24, 2023

The emergence of Large Language Models (LLMs) has inaugurated a new era in the realm of artificial intelligence, reshaping the possibilities for organizations across diverse sectors. are harnessed to channel LLMs output. Auto Eval Common Metric Eval Human Eval Custom Model Eval 3.

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LevelAI

MARCH 28, 2024

Generation 3: Intent-Based Systems Enter the third generation: AI-powered systems. Unlike their predecessors, AI-powered systems can analyze entire conversations across each interaction, providing a holistic understanding of every conversation. Some questions — Did the agent reduce effort for the customer? —

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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. The output of generative models defies simple comparisons to test sets. We are, in our view, in a bit of a hype cycle,” he said.

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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. The output of generative models defies simple comparisons to test sets. We are, in our view, in a bit of a hype cycle,” he said.

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AWS Machine Learning Blog

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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AWS Machine Learning Blog

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. This technique provides targeted yet broad-ranging search capabilities, furnishing the LLM with a wider perspective.

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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. We will fine-tune different foundation LLM models on a dataset, evaluate them, and select the best model. You have a valuable dataset and can choose from various base models.

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NVIDIA

MARCH 6, 2024

With the 2018 launch of RTX technologies and the first consumer GPU built for AI — GeForce RTX — NVIDIA accelerated the shift to AI computing. Since then, AI on RTX PCs and workstations has grown into a thriving ecosystem with more than 100 million users and 500 AI applications. The field of AI is moving fast.

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Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. They lack critical project management functionalities like PRD generation, technical design generation, and API interface prototyping.

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AWS Machine Learning Blog

MAY 7, 2024

The recording is transcribed to text using Amazon Transcribe and then processed using Amazon SageMaker Hugging Face containers to generate the meeting summary. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub. Mistral 7B Instruct is developed by Mistral AI.

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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. In this post, we explore best practices for prompting the Llama 2 Chat LLM. The complete example is shown in the accompanying notebook.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Additionally, we cover the seamless integration of generative AI tools like Amazon CodeWhisperer and Jupyter AI within SageMaker Studio JupyterLab Spaces, illustrating how they empower developers to use AI for coding assistance and innovative problem-solving. Choose Create JupyterLab space. Choose Create space.

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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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Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

The success of generative AI applications across a wide range of industries has attracted the attention and interest of companies worldwide who are looking to reproduce and surpass the achievements of competitors or solve new and exciting use cases. as the engines that power the generative AI innovation.

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AssemblyAI

SEPTEMBER 18, 2023

Below, we'll give you the basic know-how you need to understand LLMs, how they work, and the best models in 2023. A large language model (often abbreviated as LLM) is a machine-learning model designed to understand, generate, and interact with human language. Read Introduction to Large Language Models for Generative AI.

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AWS Machine Learning Blog

OCTOBER 11, 2023

What is the optimal framework and configuration for hosting large language models (LLMs) for text-generating generative AI applications? The LMI container has a powerful serving stack called DJL serving that is agnostic to the underlying LLM. These cached key and value tensors are often referred to as the KV cache.

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AWS Machine Learning Blog

MAY 1, 2024

Their impressive generative abilities have led to widespread adoption across various sectors and use cases, including content generation, sentiment analysis, chatbot development, and virtual assistant technology. Llama2 by Meta is an example of an LLM offered by AWS. This results in faster restarts and workload completion.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Deploy a fine-tuned Model on Inf2 using Amazon SageMaker AWS Inferentia2 is purpose-built machine learning (ML) accelerator designed for inference workloads and delivers high-performance at up to 40% lower cost for generative AI and LLM workloads over other inference optimized instances on AWS.

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AWS Machine Learning Blog

DECEMBER 5, 2023

The insurance provider receives payout claims from the beneficiary’s attorney for different insurance types, such as home, auto, and life insurance. When this is complete, the document can be routed to the appropriate department or downstream process. The following diagram outlines the proposed solution architecture. append(e["Text"].upper())

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AWS Machine Learning Blog

APRIL 16, 2024

To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret.

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Unite.AI

AUGUST 1, 2023

Furthermore, it opens doors to seamlessly integrating LLMs with external tools and data sources, broadening the range of their potential uses. In zero-shot learning, no examples of task completion are provided in the model. Few Shot Learning as Demonstrated in GPT-3 Paper Zero-shot learning takes this concept a step further.

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AWS Machine Learning Blog

SEPTEMBER 25, 2023

We’re at an exciting inflection point in the widespread adoption of machine learning (ML), and we believe most customer experiences and applications will be reinvented with generative AI. Generative AI can create new content and ideas, including conversations, stories, images, videos, and music.

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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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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

SEPTEMBER 14, 2023

Today, generative AI models cover a variety of tasks from text summarization, Q&A, and image and video generation. To improve the quality of output, approaches like n-short learning, Prompt engineering, Retrieval Augmented Generation (RAG) and fine tuning are used.

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AWS Machine Learning Blog

MAY 31, 2023

Complete the following steps: Launch the provided CloudFormation template. When the stack is complete, you can move to the next step. Complete the following steps: On the Amazon ECR console, create a new repository. To do a complete cleanup, delete the CloudFormation stack to remove all resources created by this template.

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AWS Machine Learning Blog

MAY 7, 2024

Using generative AI and new multimodal foundation models (FMs) could be very strategic for Veritone and the businesses they serve, because it would significantly improve media indexing and retrieval based on contextual meaning—a critical first step to eventually generating new content.

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Snorkel AI

JANUARY 18, 2023

Penna walked the audience through his career—from YouTube creator to feature film director to his work at Stability AI—before showing how generative AI could have saved his productions time and money. Arora said that the approach yielded a lift in accuracy on all of the popular LLMs they tested on.

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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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Unite.AI

SEPTEMBER 4, 2023

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. One that stresses an open-source approach as the backbone of AI development, particularly in the generative AI space.

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