IBM Journey to AI blog

JUNE 19, 2024

Thankfully, retrieval-augmented generation (RAG) has emerged as a promising solution to ground large language models (LLMs) on the most accurate, up-to-date information. IBM unveiled its new AI and data platform, watsonx™, which offers RAG, back in May 2023.

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IBM Journey to AI blog

AUGUST 7, 2024

In the year since we unveiled IBM’s enterprise generative AI (gen AI) and data platform, we’ve collaborated with numerous software companies to embed IBM watsonx™ into their apps, offerings and solutions. IBM’s established expertise and industry trust make it an ideal integration partner.”

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Flipboard

JUNE 6, 2023

Cloudera got its start in the Big Data era and is now moving quickly into the era of Big AI with large language models (LLMs). Today, Cloudera announced its strategy and tools for helping enterprises integrate the power of LLMs and generative AI into the company’s Cloudera Data Platform (CDP). …

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Flipboard

NOVEMBER 19, 2024

Pre-filtered documents that relate to the user query are included in the prompt of the large language model (LLM) that summarizes the answer. Then, Lambda replies back to the web interface with the LLM completion (reply). He helps customers and partners build big data platform and generative AI applications.

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AWS Machine Learning Blog

DECEMBER 5, 2024

Used alongside other techniques such as prompt engineering, RAG, and contextual grounding checks, Automated Reasoning checks add a more rigorous and verifiable approach to enhancing the accuracy of LLM-generated outputs. Amazon Bedrock Evaluations addresses this by helping you evaluate, compare, and select the best FMs for your use case.

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IBM Journey to AI blog

AUGUST 31, 2023

IBM watsonx Assistant connects to watsonx, IBM’s enterprise-ready AI and data platform for training, deploying and managing foundation models, to enable business users to automate accurate, conversational question-answering with customized watsonx large language models.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. The latest open-source LLM model we added this month includes Meta’s 70 billion parameter model Llama 2-chat inside the watsonx.ai

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AWS Machine Learning Blog

APRIL 1, 2025

This approach makes sure that the LLM operates within specified ethical and legal parameters, much like how a constitution governs a nations laws and actions. client(service_name="bedrock-runtime", region_name="us-east-1") llm = ChatBedrock(client=bedrock_runtime, model_id="anthropic.claude-3-haiku-20240307-v1:0") .

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Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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NVIDIA

JULY 23, 2024

Dozens of NVIDIA data platform partners are working with NeMo Retriever NIM microservices to boost their AI models’ accuracy and throughput. NetApp is collaborating with NVIDIA to connect NeMo Retriever microservices to exabytes of data on its intelligent data infrastructure.

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IBM Journey to AI blog

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. “Hole distances and pin positions vary from round to round and year to year; these factors are important as we stage the data.”

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AWS Machine Learning Blog

MARCH 5, 2025

To scale ground truth generation and curation, you can apply a risk-based approach in conjunction with a prompt-based strategy using LLMs. Its important to note that LLM-generated ground truth isnt a substitute for use case SME involvement. To convert the source document excerpt into ground truth, we provide a base LLM prompt template.

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AWS Machine Learning Blog

MARCH 10, 2025

Recommendation agent Analyzes the aggregated data to provide tailored recommendations for precise input applications, product placement, and strategies for pest and disease control. This experience was instrumental in her professional growth.

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Unite.AI

FEBRUARY 21, 2024

Airflow provides the workflow management capabilities that are integral to modern cloud-native data platforms. Data platform architects leverage Airflow to automate the movement and processing of data through and across diverse systems, managing complex data flows and providing flexible scheduling, monitoring, and alerting.

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IBM Journey to AI blog

OCTOBER 14, 2024

Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data management providers. “Most data being generated every day is unstructured and presents the biggest new opportunity.”

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Unite.AI

SEPTEMBER 10, 2024

Index is multimodal : Supports multimodal AI, managing data in the form of images, videos, audio, text, documents and more. Index is not limited to a single form of data like many LLM tools today. As AI applications grow in complexity, the need for efficient and scalable data management solutions will only increase.

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IBM Journey to AI blog

AUGUST 1, 2023

A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks. BERT (Bi-directional Encoder Representations from Transformers) is one of the earliest LLM foundation models developed. The platform comprises three powerful products: The watsonx.ai

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AWS Machine Learning Blog

JUNE 18, 2024

Cost-effective – The solution should only invoke LLM to generate reusable code on an as-needed basis instead of manipulating the data directly to be as cost-effective as possible. If yes, the solution retrieves and executes the previously-generated python codes (Step 2) and the transformed data is stored in S3 (Step 10).

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John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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AWS Machine Learning Blog

AUGUST 15, 2024

If using text embeddings , these requests first pass through a LLM model hosted on Amazon Bedrock or Amazon SageMaker to generate embeddings before being saved into the question bank on OpenSearch Service. The text generation LLM can optionally be used to create the search query and synthesize a response from the returned document excerpts.

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IBM Journey to AI blog

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles.

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AWS Machine Learning Blog

JULY 29, 2024

We demonstrate BYO LLM integration by using Anthropic’s Claude model on Amazon Bedrock to summarize a list of open service cases and opportunities on an account record page, as shown in the following figure. Solution overview With the Salesforce Einstein Model Builder BYO LLM feature, you can invoke Amazon Bedrock models in your AWS account.

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IBM Journey to AI blog

JULY 17, 2023

With the recent launch of watsonx, IBM’s next-generation AI and data platform, AI is being taken to the next level with three powerful components: watsonx.ai, watsonx.data and watsonx.governance. The LLM solution has resulted in an 80% reduction in manual effort and in 90% accuracy of automated tasks. Watsonx.ai

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ODSC - Open Data Science

DECEMBER 7, 2023

How to Add Domain-Specific Knowledge to an LLM Based on Your Data In this article, we will explore one of several strategies and techniques to infuse domain knowledge into LLMs, allowing them to perform at their best within specific professional contexts by adding chunks of documentation into an LLM as context when injecting the query.

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TheSequence

MARCH 23, 2025

Search-R1 In the paper "Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning" researchers from the University of Illinois at Urbana-Champaign introduce SEARCH-R1, a novel reinforcement learning framework that enables large language models to interleave self-reasoning with real-time search engine interactions.

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AWS Machine Learning Blog

SEPTEMBER 6, 2024

RAG is a methodology to improve the accuracy of LLM responses answering a user query by retrieving and inserting relevant domain knowledge into the language model prompt. Tuning chunking and indexing in the retriever makes sure the correct content is available in the LLM prompt for generation.

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Snorkel AI

JANUARY 8, 2025

In todays fast-paced AI landscape, seamless integration between data platforms and AI development tools is critical. At Snorkel, weve partnered with Databricks to create a powerful synergy between their data lakehouse and our Snorkel Flow AI data development platform.

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Marktechpost

JANUARY 30, 2025

EICopilot is an LLM-based chatbot that utilizes a novel data preprocessing pipeline that optimizes database queries. They obtained data from Baidus internal data platform and processed it rigorously to construct a dataset involving a query and graph database query pair.

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TheSequence

JUNE 18, 2023

We discuss Google Research’s paper about REALM, the original retrieval-augmented foundation model and the new version of the Ray platform that includes support for LLMs. Edge 302: We deep dive into MPT-7B, an open source LLM that supports 65k tokens. Training data platform Refuel AI announced $5 million in new funding.

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ODSC - Open Data Science

JANUARY 9, 2025

With the advent of Generative AI and Large Language Models (LLMs), we witnessed a paradigm shift in Application development, paving the way for a new wave of LLM-powered applications. Furthermore, the system message can also shape the planning pattern, specifying the way the LLM should decide upon the available tools.

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ODSC - Open Data Science

FEBRUARY 22, 2024

Industry, Opinion, Career Advice What Dagster Believes About Data Platforms The beliefs that organizations adopt about the way their data platforms should function influence their outcomes. Enables Data Science Teams to Influence Mission-Critical Decisions Here, the author shares her thoughts on how Dash Enterprise 5.2

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The MLOps Blog

MARCH 12, 2024

TL;DR LLMOps involves managing the entire lifecycle of Large Language Models (LLMs), including data and prompt management, model fine-tuning and evaluation, pipeline orchestration, and LLM deployment. However, transforming raw LLMs into production-ready applications presents complex challenges.

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TheSequence

JULY 5, 2023

Created Using Midjourney In case you missed yesterday’s newsletter due to July the 4th holiday, we discussed the universe of in-context retrieval augmented LLMs or techniques that allow to expand the LLM knowledge without altering its core architecutre. It’s a good one. Go check it out.

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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Snorkel AI

JULY 14, 2023

In addition to the latest release of Snorkel Flow, we recently introduced Foundation Model Data Platform that expands programmatic data development beyond labeling for predictive AI with two core solutions: Snorkel GenFlow for building generative AI applications and Snorkel Foundry for developing custom LLMs with proprietary data.

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John Snow Labs

JANUARY 14, 2025

This is the result of a concentrated effort to deeply integrate its technology across a range of cloud and data platforms, making it easier for customers to adopt and leverage its technology in a private, safe, and scalable way.

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ODSC - Open Data Science

OCTOBER 20, 2023

Build and productionize LLM models with ease with Dagster Pedram Navid | Head of Data Engineering and Developer Relations | Elementl/Dagster Labs During this session, you’ll discuss the role of orchestration in LLM training and deployment and the importance of an asset-centric framework in data engineering.

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