Introduction to Embedchain – A Data Platform Tailored for LLMs
Analytics Vidhya
NOVEMBER 5, 2023
Introduction The introduction to tools like LangChain, and LangFlow, has made things easier when building applications with Large Language Models.
Open source large language models: Benefits, risks and types
IBM Journey to AI blog
SEPTEMBER 27, 2023
Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.
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Introducing Snorkel’s Foundation Model Data Platform
Snorkel AI
JUNE 12, 2023
In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.
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Introducing Snorkel’s Foundation Model Data Platform
Snorkel AI
JUNE 12, 2023
In 2007, Google researchers published a paper on a class of statistical language models they dubbed “large language models”, which they reported as achieving a new state of the art in performance. They used a very standard model and a decoding algorithm so simple they named it “Stupid Backoff” 1.
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Using John Snow Labs’ Medical Large Language Models on Azure Fabric
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.
IBM TechXchange underscores the importance of AI skilling and partner innovation
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. to streamline the handling of extensive data in support centers, simplifying complex tickets with large language models. and watsonx Assistant. . “IBM’s watsonx.ai
Re-evaluating data management in the generative AI age
IBM Journey to AI blog
JUNE 27, 2024
Generative AI has altered the tech industry by introducing new data risks, such as sensitive data leakage through large language models (LLMs), and driving an increase in requirements from regulatory bodies and governments.
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Rohit Choudhary, Founder & CEO of Acceldata – Interview Series
Unite.AI
NOVEMBER 13, 2024
My experience as Director of Engineering at Hortonworks exposed me to a recurring theme: companies with ambitious data strategies were struggling to find stability in their data platforms, despite significant investments in data analytics. They couldn't reliably deliver data when the business needed it most.
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Wipro and IBM collaborate to propel enterprise AI
AI News
FEBRUARY 20, 2024
In a bid to accelerate the adoption of AI in the enterprise sector, Wipro has unveiled its latest offering that leverages the capabilities of IBM’s watsonx AI and data platform. The extended partnership between Wipro and IBM combines the former’s extensive industry expertise with IBM’s leading AI innovations.
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How a company transformed employee HR experience with an AI assistant
IBM Journey to AI blog
OCTOBER 31, 2024
Jad Haddad , Head of AI at Inspire for Solutions Development has embraced the IBM watsonx™ AI and data platform to enhance the HR experience for its 450 employees. IBM Build Partner Inspire for Solutions Development is a regional consulting firm that provides enterprise IT solutions across the Middle East.
IBM watsonx Assistant transforms content into conversational answers with generative AI
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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How a solid generative AI strategy can improve telecom network operations
IBM Journey to AI blog
SEPTEMBER 25, 2024
These use cases have demonstrated the impressive capabilities of large language models (LLMs) in understanding and generating human-like responses, particularly in fields requiring nuanced language understanding and inferencing. However, in the realm of telecom network operations, the data is different.
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How two software companies are using IBM watsonx for their enterprise generative AI solutions
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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LLM integration takes Cloudera data lakehouse from Big Data to Big AI
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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Tennis, football, and IBM watsonx
IBM Journey to AI blog
SEPTEMBER 6, 2023
But it was made considerably easier this year by IBM’s new AI and data platform, watsonx. watsonx made it easy, from connecting all the necessary data sets ( watsonx.data ) to training a pre-built large language model to translate tennis scenes into complete sentences ( wastsonx.ai ).
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Generative AI that’s tailored for your business needs with watsonx.ai
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.
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Building AI for business: IBM’s Granite foundation models
IBM Journey to AI blog
SEPTEMBER 7, 2023
IBM’s Granite foundation models are targeted for business Developed by IBM Research , the Granite models — Granite.13b.instruct 13b.chat — use a “Decoder” architecture, which is what underpins the ability of today’s large language models to predict the next word in a sequence.
How to prevent prompt injection attacks
IBM Journey to AI blog
APRIL 24, 2024
Large language models (LLMs) may be the biggest technological breakthrough of the decade. With the IBM® watsonx™ AI and data platform , organizations can easily and securely deploy and embed AI across the business.
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The recipe for RAG: How cloud services enable generative AI outcomes across industries
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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Foundational models at the edge
IBM Journey to AI blog
SEPTEMBER 20, 2023
By ingesting vast amounts of unlabeled data and using self-supervised techniques for model training, FMs have removed these bottlenecks and opened the avenue for widescale adoption of AI across the enterprise. These massive amounts of data that exist in every business are waiting to be unleashed to drive insights.
Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito
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. He helps customers and partners build big data platform and generative AI applications. Then, Lambda replies back to the web interface with the LLM completion (reply).
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The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good
TheSequence
MARCH 23, 2025
. 🔎 AI Research Synthetic Data and Differential Privacy In the paper "Private prediction for large-scale synthetic text generation " researchers from Google present an approach for generating differentially private synthetic text using large language models via private prediction. Mistral Small 3.1
Enhancing the Wimbledon fan experience with AI from watsonx
IBM Journey to AI blog
JUNE 21, 2023
And this year, Wimbledon is tapping into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM’s new trusted AI and data platform, watsonx. ’ To use AI in a commercial setting, you need to have confidence that a model is scalable, reliable and trusted.”
Amazon Bedrock announces general availability of multi-agent collaboration
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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How the Masters uses watsonx to manage its AI lifecycle
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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Eric Landau, Co-Founder & CEO of Encord – Interview Series
Unite.AI
SEPTEMBER 10, 2024
In his spare time, Eric enjoys playing with ChatGPT and large language models and craft cocktail making. What inspired you to co-found Encord, and how did your experience in particle physics and quantitative finance shape your approach to solving the “data problem” in AI? He holds an S.M.
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Databricks + Snorkel Flow: integrated, streamlined AI development
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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52 How to streamline and enhance critical F&A functions with generative AI
IBM Journey to AI blog
JUNE 23, 2023
” Moreover, some Large Language Models (LLMs) can already research and summarize, translate and interpret, generate and create, comprehend and report, converse and engage based on the knowledge gained from massive datasets used by F&A.
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How IBM Consulting ushered the US Open into a new era of AI innovation with watsonx
IBM Journey to AI blog
AUGUST 17, 2023
This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. . “We need to constantly innovate to anticipate fans’ needs and delight them with new experiences,” says Kirsten Corio, Chief Commercial Officer at the USTA.
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Five machine learning types to know
IBM Journey to AI blog
DECEMBER 20, 2023
Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more.
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Generative AI use cases for the enterprise
IBM Journey to AI blog
FEBRUARY 13, 2024
This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music.
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Generate compliant content with Amazon Bedrock and ConstitutionalChain
AWS Machine Learning Blog
APRIL 1, 2025
It uses expertise from data scientists, behavior scientists, and strategists to drive better outcomes in the healthcare industry. Understanding Constitutional AI Constitutional AI is designed to align large language models (LLMs) with human values and ethical considerations.
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Future-Ready Enterprises: The Crucial Role of Large Vision Models (LVMs)
Unite.AI
JANUARY 18, 2024
Prominent examples of enterprises adopting LVMs for these advantages include Landing AI , a computer vision cloud platform addressing diverse computer vision challenges, and Snowflake , a cloud data platform facilitating LVM deployment through Snowpark Container Services.
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IBM Releases Granite 3.0 2B and 8B AI Models for AI Enterprises
Marktechpost
OCTOBER 21, 2024
Built on IBM’s watsonx AI and data platform, Granite 3.0 AI models are built upon large language models (LLMs), designed specifically for enterprise AI applications. Technically speaking, IBM’s Granite 3.0
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IBM Cloud solution tutorials: 2023 in review
IBM Journey to AI blog
DECEMBER 14, 2023
Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). IBM introduced watsonx as the AI and data platform built for business.
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The Rise and Fall of Data Science Trends: A 2018–2024 Conference Perspective
ODSC - Open Data Science
MARCH 12, 2025
Takeaway: The industrys focus has shifted from building models to making them robust, scalable, and maintainable. The Boom of Generative AI and Large Language Models(LLMs) 20182020: NLP was gaining traction, with a focus on word embeddings, BERT, and sentiment analysis.
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John Snow Labs Closes 2024 with Record Revenue, Customer Base Growth, and Open-Source Adoption, Thanks to State-of-the-art Healthcare-Specific Large Language Models
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.
Transforming customer service: How generative AI is changing the game
IBM Journey to AI blog
JULY 17, 2023
Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.ai
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How foundation models and data stores unlock the business potential of generative AI
IBM Journey to AI blog
AUGUST 1, 2023
For example, a foundation model might be used as the basis for a generative AI model that is then fine-tuned with additional manufacturing datasets to assist in the discovery of safer and faster ways to manufacturer a type of product. The platform comprises three powerful products: The watsonx.ai
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How Data Cloud and Einstein 1 unlock AI-driven results
IBM Journey to AI blog
SEPTEMBER 13, 2024
Over the past few years, Salesforce has made heavy investments in Data Cloud. Data Cloud works to unlock trapped data by ingesting and unifying data from across the business. Model builder The Bring Your Own Model (BYOM) solution allows companies to use Salesforce’s standard large language models.
Exploring the AI and data capabilities of watsonx
IBM Journey to AI blog
JULY 17, 2023
” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”
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AI and the future of unstructured data
IBM Journey to AI blog
OCTOBER 14, 2024
To that end, multi-model databases and multi-engine lakehouse architectures will continue to successfully compete for workloads with siloed databases as clients look to consolidate on a reduced number of data platforms.
Build generative AI–powered Salesforce applications with Amazon Bedrock
AWS Machine Learning Blog
JULY 29, 2024
In Part 3 , we demonstrate how business analysts and citizen data scientists can create machine learning (ML) models, without code, in Amazon SageMaker Canvas and deploy trained models for integration with Salesforce Einstein Studio to create powerful business applications.
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112 The business value of operating core insurance solutions on the cloud
IBM Journey to AI blog
JUNE 23, 2023
The introduction of ChatGPT capabilities has generated a lot of interest in generative AI foundation models (these are pre-trained on unlabeled datasets and leverage self-supervised learning with the help of Large Language Models using a neural network ).
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