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Explainability Generative AI LLM 
AI News
DECEMBER 3, 2024
Google Cloud has launched two generative AI models on its Vertex AI platform, Veo and Imagen 3, amid reports of surging revenue growth among enterprises leveraging the technology. ” Knowledge sharing platform Quora has developed Poe , a platform that enables users to interact with generative AI models.
342 
Analytics Vidhya
MARCH 18, 2025
Today, as discussions around Model Context Protocols (MCP) intensify, LLMs.txt is in the spotlight as a proven, AI-first documentation […] The post LLMs.txt Explained: The Web’s New LLM-Ready Content Standard appeared first on Analytics Vidhya.
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How to Achieve High-Accuracy Results When Using LLMs
Maximizing Profit and Productivity: The New Era of AI-Powered Accounting
Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact
Automation, Evolved: Your New Playbook For Smarter Knowledge Work
AI News
DECEMBER 9, 2024
This involves doubling down on access controls and privilege creep, and keeping data away from publicly-hosted LLMs. ” Boost transparency and explainability Another serious obstacle to AI adoption is a lack of trust in its results. The best way to combat this fear is to increase explainability and transparency.
295 
Unite.AI
SEPTEMBER 13, 2023
The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.
273 
APRIL 1, 2025
Foundation models (FMs) and generative AI are transforming enterprise operations across industries. McKinsey & Companys recent research estimates generative AI could contribute up to $4.4 McKinsey & Companys recent research estimates generative AI could contribute up to $4.4
165 
AI News
NOVEMBER 15, 2023
The hype surrounding generative AI and the potential of large language models (LLMs), spearheaded by OpenAI’s ChatGPT, appeared at one stage to be practically insurmountable. He’ll say anything that will make him seem clever,” McLoone tells AI News. “It As McLoone explains, it is all a question of purpose. “I
338 
Analytics Vidhya
MAY 13, 2023
Large language models (LLMs) such as OpenAI’s ChatGPT are often called black boxes.
364 
AWS Machine Learning Blog
MARCH 19, 2025
As we gather for NVIDIA GTC, organizations of all sizes are at a pivotal moment in their AI journey. The question is no longer whether to adopt generative AI, but how to move from promising pilots to production-ready systems that deliver real business value. The results speak for themselvestheir inference stack achieves up to 3.1
136 
O'Reilly Media
FEBRUARY 25, 2025
Hi, I am a professor of cognitive science and design at UC San Diego, and I recently wrote posts on Radar about my experiences coding with and speaking to generative AI tools like ChatGPT. So instead I spent all those years working on a versatile code visualizer that could be *used* by human tutors to explain code execution.
IBM Journey to AI blog
OCTOBER 15, 2024
When a user taps on a player to acquire or trade, a list of “Top Contributing Factors” now appears alongside the numerical grade, providing team managers with personalized explainability in natural language generated by the IBM® Granite™ large language model (LLM).
257 
NVIDIA
MARCH 17, 2025
The corresponding increase in tokens per prompt can require over 100x more compute compared with a single inference pass on a traditional LLM an example of test-time scaling , aka long thinking. How Do Tokens Drive AI Economics? There are tradeoffs involved for each metric, and the right balance is dictated by use case.
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.”
284 
Unite.AI
MARCH 9, 2025
The introduction of generative AI and the emergence of Retrieval-Augmented Generation (RAG) have transformed traditional information retrieval, enabling AI to extract relevant data from vast sources and generate structured, coherent responses. It cannot discover new knowledge or explain its reasoning process.
200 
AWS Machine Learning Blog
FEBRUARY 27, 2025
In our previous blog posts, we explored various techniques such as fine-tuning large language models (LLMs), prompt engineering, and Retrieval Augmented Generation (RAG) using Amazon Bedrock to generate impressions from the findings section in radiology reports using generative AI.
78 
MARCH 25, 2025
One of the greatest challenges of Generative AI solutions like ChatGPT is hallucination. They search and retrieve trusted information in a database and then limit the scope of how the LLM is used. Asking an LLM to summarize specific documents bounds the probabilistic output to the content within the documents selected.
Unite.AI
JULY 5, 2023
MosaicML is a generative AI company that provides AI deployment and scalability solutions. Their latest large language model (LLM) MPT-30B is making waves across the AI community. On the HumanEval dataset, the model surpasses purpose-built LLM models, such as the StarCoder series.
261 
Unite.AI
OCTOBER 20, 2023
AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8
278 
AWS Machine Learning Blog
OCTOBER 31, 2024
AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. In the following sections, we explain how to deploy this architecture.
116 
AWS Machine Learning Blog
MARCH 25, 2025
Since Amazon Q Business became generally available in 2024, customers have used this fully managed, generative AI-powered assistant to enhance their productivity and efficiency. The assistant enables users to answer questions, generate summaries, create content, and complete tasks using enterprise data.
92 
Unite.AI
OCTOBER 30, 2024
They overwhelmingly requested that we adapt the technology for contact centers, where they already had voice and data streams but lacked the modern generative AI architecture. We started from a blank slate and built the first native large language model (LLM) customer experience intelligence and service automation platform.
261 
AWS Machine Learning Blog
FEBRUARY 20, 2025
The company is committed to ethical and responsible AI development with human oversight and transparency. Verisk is using generative AI to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. Verisk developed an evaluation tool to enhance response quality.
101 
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.
248 
AWS Machine Learning Blog
NOVEMBER 19, 2024
This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Fifth, we’ll showcase various generative AI use cases across industries.
85 
MARCH 21, 2025
Using generative AI for IT operations offers a transformative solution that helps automate incident detection, diagnosis, and remediation, enhancing operational efficiency. AI for IT operations (AIOps) is the application of AI and machine learning (ML) technologies to automate and enhance IT operations.
164 
AWS Machine Learning Blog
NOVEMBER 18, 2024
In this post, we explain how InsuranceDekho harnessed the power of generative AI using Amazon Bedrock and Anthropic’s Claude to provide responses to customer queries on policy coverages, exclusions, and more. The use of this solution has improved sales, cross-selling, and overall customer service experience.
DECEMBER 10, 2024
In todays column, I explain the hullabaloo over the advent of text-to-video (T2V) in generative AI apps and large language models (LLM). The upshot is this. There is little doubt that text-to-video is still in its infancy at this time, but, by gosh, keep your eye on the ball because T2V is going
174 
Unite.AI
JANUARY 30, 2025
Inna Tokarev Sela, the CEO and Founder of Illumex , is transforming how enterprises prepare their structured data for generative AI. Can you explain the core concept and what motivated you to tackle this specific challenge in AI and data analytics? illumex meets organizations wherever they are in their AI journey.
144 
Unite.AI
MARCH 3, 2025
Can you explain what neurosymbolic AI is and how it differs from traditional AI approaches? The field of AI has (very roughly!) two areas: statistical (which includes LLMs) and symbolic (aka automated reasoning). Can you explain how it works and its significance in solving complex problems?
162 
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.
243 
Snorkel AI
MARCH 26, 2025
LLM-as-Judge has emerged as a powerful tool for evaluating and validating the outputs of generative models. Closely observed and managed, the practice can help scalably evaluate and monitor the performance of Generative AI applications on specialized tasks. What is LLM-as-Judge? How do you teach an LLM to judge?
52 
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.
298 
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.
Towards AI
OCTOBER 31, 2024
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy. Learn AI Together Community section! AI poll of the week!
116 
AWS Machine Learning Blog
FEBRUARY 21, 2025
Fine-tuning a pre-trained large language model (LLM) allows users to customize the model to perform better on domain-specific tasks or align more closely with human preferences. You can use supervised fine-tuning (SFT) and instruction tuning to train the LLM to perform better on specific tasks using human-annotated datasets and instructions.
77 
AWS Machine Learning Blog
APRIL 7, 2025
Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms.
AWS Machine Learning Blog
FEBRUARY 18, 2025
By using generative AI, engineers can receive a response within 510 seconds on a specific query and reduce the initial triage time from more than a day to less than 20 minutes. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.
AWS Machine Learning Blog
DECEMBER 23, 2024
Customers need better accuracy to take generative AI applications into production. This enhancement is achieved by using the graphs ability to model complex relationships and dependencies between data points, providing a more nuanced and contextually accurate foundation for generative AI outputs.
119 
AWS Machine Learning Blog
NOVEMBER 26, 2024
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. You don’t have to tell the LLM where Sydney is or that the image is for rainfall.
95 
AI Weekly
APRIL 11, 2024
The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models. techcrunch.com Applied use cases Can AI Find Its Way Into Accounts Payable? Generative AI is igniting a new era of innovation within the back office.
264 
JANUARY 22, 2025
Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Amazon Bedrock Agents offers a fully managed solution for creating, deploying, and scaling AI agents on AWS.
171 
AI News
SEPTEMBER 27, 2024
One of Databricks’ notable achievements is the DBRX model, which set a new standard for open large language models (LLMs). “Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. “It
Snorkel AI
JANUARY 22, 2025
So, how do enterprises ensure that their models responses comply with company policies and general decency? They use a process called LLM alignment. Large language model alignment uses a data-centric approach to encourage generative AI outputs to abide by organizational values, principles, or best practices. Lets dive in.
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.
176 
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.
171
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