IBM Journey to AI blog

OCTOBER 24, 2023

AI solutions for hybrid cloud system resiliency Now let’s look at some potential mitigating solutions for outages in hybrid cloud systems. Generative AI, along with other automation, can help greatly speed up phase gate decision-making (e.g., reviews, approvals, deployment artifacts, etc.),

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AWS Machine Learning Blog

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Techniques and experimentation Prompt design is the technique of creating the most effective prompt for an LLM with a clear objective.

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Towards AI

JANUARY 31, 2024

Last Updated on February 1, 2024 by Editorial Team Author(s): Marie Stephen Leo Originally published on Towards AI. 5 Practical, Beginner-Friendly Tips to Transform Your Generative AI Projects!Image This simple trick can speed up your LLM app by 70%! Join thousands of data leaders on the AI newsletter.

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SAS Software

MARCH 11, 2024

SAS' Julia Moreno shows you how to use generative AI to build a digital assistant that interacts with a model using natural language conversation. The post LLM-based digital assistant for SAS Optimization appeared first on SAS Blogs.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. From our perspective, the debate over architecture is over.

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SAS Software

MAY 1, 2024

SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?" The post Five steps to improve information extraction using trustworthy generative AI appeared first on SAS Blogs.

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AWS Machine Learning Blog

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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AssemblyAI

MARCH 8, 2024

Fresh From Our Blog Extract phone call insights with LLMs in Python : Learn how to automatically extract insights from customer calls with Large Language Models (LLMs) and Python.  Get the latest from AssemblyAI Sign up and receive updates on new product updates and our weekly tutorials & blogs. Sign up here

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Unite.AI

JUNE 8, 2023

This was the first widely recognized and commercial Generative AI tool. Since then, 100s of tools related to Generative AI in media and other domains have been released with applications in all facets, including art, music, marketing, entertainment, etc. Let’s look at some major applications of AI in media.

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AWS Machine Learning Blog

MAY 30, 2024

Generative artificial intelligence (AI) has unlocked fresh opportunities for these use cases. In this post, we introduce the Media Analysis and Policy Evaluation solution, which uses AWS AI and generative AI services to provide a framework to streamline video extraction and evaluation processes.

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NVIDIA

OCTOBER 17, 2023

Generative AI is one of the most important trends in the history of personal computing, bringing advancements to gaming, creativity, video, productivity, development and more. This follows the announcement of TensorRT-LLM for data centers last month.

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AWS Machine Learning Blog

APRIL 24, 2024

To increase training samples for better learning, we also used another LLM to generate feedback scores. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. Other users provided scores and explained how they justify the LLM answers in their notes.

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AssemblyAI

JUNE 27, 2023

With some first steps in this direction in the past weeks – Google’s AI test kitchen and Meta open-sourcing its music generator – some experts are now expecting a “GPT moment” for AI-powered music generation this year. This blog post is part of a series on generative AI.

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BAIR

FEBRUARY 17, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. Python code that calls an LLM), or should it be driven by an AI model (e.g.

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AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? An open-source model, Google created BERT in 2018.

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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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Marktechpost

MAY 10, 2024

ChatGPT – GPT-4 GPT-4 is the latest LLM of OpenAI, which is more inventive, accurate, and safer than its predecessors. Synthesia Synthesia is a video generation tool that converts texts into high-quality videos using AI avatars and voiceovers.

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IBM Journey to AI blog

SEPTEMBER 21, 2023

Generative AI and large language models are poised to impact how we all access and use information. Amazon Web Services (AWS) AWS joined us at TechXchange, where they illustrated how our generative AI technologies can be complementary and highlighted the availability of watsonx.data on the AWS marketplace.

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AWS Machine Learning Blog

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. The biggest concern we hear from customers as they explore the advantages of generative AI is how to protect their highly sensitive data and investments.

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AWS Machine Learning Blog

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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Towards AI

JANUARY 30, 2024

Author(s): Abhinav Kimothi Originally published on Towards AI. Being new to the world of Generative AI, one can feel a little overwhelmed by the jargon. While I post the list in this blog, I’m also maintaining a “live” list that is detailed and will keep on updating. I compiled another one, bucketing them in 12 groups.

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AWS Machine Learning Blog

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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Flipboard

APRIL 13, 2023

Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We are truly at an exciting inflection point in the widespread adoption of ML, and we believe most customer experiences and applications will be reinvented with generative AI.

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IBM Journey to AI blog

APRIL 24, 2024

Large language models (LLMs) may be the biggest technological breakthrough of the decade. As generative AI applications become increasingly ingrained in enterprise IT environments, organizations must find ways to combat this pernicious cyberattack. Hackers do not need to feed prompts directly to LLMs for these attacks to work.

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NVIDIA

NOVEMBER 16, 2023

Generative AI , the most transformative tool of our time, enables a kind of digital jiu jitsu. In a recent survey , CEOs said cybersecurity is one of their top three concerns, and they see generative AI as a lead technology that will deliver competitive advantages. Generative AI brings both risks and benefits.

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AssemblyAI

AUGUST 18, 2023

In what follows, we focus on the following questions: What drives the scaling of LLMs? What challenges and trade-offs exist in engineering LLM-based solutions? How can LLMs transform real-world applications? But strictly, how much data is required to train an LLM effectively? Yet, this goal can be complex.

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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AWS Machine Learning Blog

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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AWS Machine Learning Blog

MAY 9, 2024

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.

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AWS Machine Learning Blog

NOVEMBER 13, 2023

One of the most common applications of generative AI and large language models (LLMs) is answering questions based on a specific external knowledge corpus. Retrieval-Augmented Generation (RAG) is a popular technique for building question answering systems that use an external knowledge base.

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Towards AI

MARCH 11, 2024

Last Updated on March 13, 2024 by Editorial Team Author(s): Marie Stephen Leo Originally published on Towards AI. Reduce LLM latency and cost by over 95% using OpenAI, LiteLLM, Qdrant, and Sentence Transformers!Image Image generated by Author using Dall E 3 Latency and costs are significant challenges with LLM-based chatbots today.

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NVIDIA

JUNE 27, 2023

Leading users and industry-standard benchmarks agree: NVIDIA H100 Tensor Core GPUs deliver the best AI performance, especially on the large language models ( LLMs ) powering generative AI. The company will act as an AI studio, creating personal AIs users can interact with in simple, natural ways.

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Unite.AI

MAY 28, 2024

vLLM Engine: Provides high-throughput LLM serving with features like continuous batching, optimized CUDA kernels, and parallel decoding algorithms for efficient large-scale inference. Check out this latest blog for Llama 3 deployment using MonsterGPT: How does it streamline the fine-tuning and deployment process?

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AI Weekly

APRIL 11, 2024

We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models.

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