AWS Machine Learning - AI

APRIL 10, 2025

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours.

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CIO

MARCH 20, 2025

Global competition is heating up among large language models (LLMs), with the major players vying for dominance in AI reasoning capabilities and cost efficiency. OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence.

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AWS Machine Learning - AI

NOVEMBER 27, 2024

Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. To maximize performance and optimize training, organizations frequently need to employ advanced distributed training strategies.

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Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. The Need for Fine Tuning Fine tuning solves these issues.

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Crunchbase News

NOVEMBER 13, 2024

Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. First, LLM technology is readily accessible via APIs from large AI research companies such as OpenAI.

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Artificial Inteligence UI/UX Off-The-Shelf Generative AI 133

CIO

APRIL 14, 2025

Artificial intelligence has great potential in predicting outcomes. Because of generative AI and large language models (LLMs), AI can do amazing human-like things such as pass a medical exam or an LSAT test. Calling AI artificial intelligence implies it has human-like intellect.

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AWS Machine Learning - AI

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.

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CIO

NOVEMBER 12, 2024

We are happy to share our learnings and what works — and what doesn’t. The whole idea is that with the apprenticeship program coupled with our 100 Experiments program , we can train a lot more local talent to enter the AI field — a different pathway from traditional academic AI training. And why that role?

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Artificial Inteligence Weak Development Team Training Artificial Intelligence 174

John Snow Labs

APRIL 2, 2025

The update enables domain experts, such as doctors or lawyers, to evaluate and improve custom-built large language models (LLMs) with precision and transparency. New capabilities include no-code features to streamline the process of auditing and tuning AI models.

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CIO

DECEMBER 11, 2024

The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Another consideration is the size of the LLM, which could impact inference time.

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Open Source Artificial Inteligence Technical Review Software Review 172

AWS Machine Learning - AI

APRIL 10, 2025

The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline.

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TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

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AWS Machine Learning - AI

DECEMBER 4, 2024

Scalable infrastructure – Bedrock Marketplace offers configurable scalability through managed endpoints, allowing organizations to select their desired number of instances, choose appropriate instance types, define custom auto scaling policies that dynamically adjust to workload demands, and optimize costs while maintaining performance.

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John Snow Labs

MARCH 20, 2025

Rather than simple knowledge recall with traditional LLMs to mimic reasoning [ 1 , 2 ], these models represent a significant advancement in AI-driven medical problem solving with systems that can meaningfully assist healthcare professionals in complex diagnostic, operational, and planning decisions. for the 14B model).

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Artificial Inteligence Healthcare Training Guidelines 69

CIO

APRIL 2, 2025

Artificial intelligence (AI) has long since arrived in companies. AI consulting: A definition AI consulting involves advising on, designing and implementing artificial intelligence solutions. Model and data analysis. Since AI technologies are developing rapidly, continuous training is important.

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O'Reilly Media - Ideas

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost.

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CIO

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And the second is deploying what we call LLM Suite to almost every employee. You need people who are trained to see that.

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John Snow Labs

NOVEMBER 8, 2024

By examining JSL’s purpose-built models, including jsl_med_rag_v1 , jsl_meds_rag_q8_v1 , jsl_meds_q8_v3 , and jsl_medm_q8_v2 we demonstrate that even an 8-billion parameter model, when fine-tuned for clinical use, can deliver performance comparable to larger, general-purpose LLMs.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications.

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CIO

MARCH 18, 2025

The company has post-trained its new Llama Nemotron family of reasoning models to improve multistep math, coding, reasoning, and complex decision-making. Post-training is a set of processes and techniques for refining and optimizing a machine learning model after its initial training on a dataset.

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CIO

JANUARY 6, 2025

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. I am excited about the potential of generative AI, particularly in the security space, she says.

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AWS Machine Learning - AI

DECEMBER 2, 2024

For generative AI models requiring multiple instances to handle high-throughput inference requests, this added significant overhead to the total scaling time, potentially impacting application performance during traffic spikes. 70B model showed significant and consistent improvements in end-to-end (E2E) scaling times.

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Generative AI Artificial Inteligence Machine Learning AWS 93

CIO

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But that’s exactly the kind of data you want to include when training an AI to give photography tips.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. top_p=0.95) # Create an LLM. choices[0].text'

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AWS Machine Learning - AI

APRIL 21, 2025

In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. To improve performance and efficiency, Yuewen Group transitioned to Anthropics Claude 3.5 Sonnet on Amazon Bedrock.

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TechCrunch

JANUARY 5, 2022

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process.

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CIO

OCTOBER 23, 2024

Artificial intelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. AI has the capability to perform sentiment analysis on workplace interactions and communications.

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Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

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AWS Machine Learning - AI

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). Why LoRAX for LoRA deployment on AWS?

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AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

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TechEmpower CTO

OCTOBER 9, 2023

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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CIO

NOVEMBER 27, 2024

Lack of properly trained candidates is the main cause of delays, and for this reason, IT and digital directors in Italy work together with HR on talent strategies by focusing on training. We provide continuous training and have also introduced Learning Friday as a half-day dedicated to training,” says Perdomi.

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Crunchbase News

DECEMBER 5, 2024

While some things tend to slow as the year winds down, artificial intelligence fundraising apparently isn’t one of them. xAI , $5B, artificial intelligence: Generative AI startup xAI raised $5 billion in a round valuing it at $50 billion, The Wall Street Journal reported. Let’s take a look. billion, with the remaining $2.75

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TechCrunch

MARCH 30, 2023

Co-founder and CEO Matt Welsh describes it as the first enterprise-focused platform-as-a-service for building experiences with large language models (LLMs). “The core of Fixie is its LLM-powered agents that can be built by anyone and run anywhere.” Fixie agents can interact with databases, APIs (e.g.

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Perficient

NOVEMBER 20, 2024

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

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AWS Machine Learning - AI

MARCH 18, 2025

This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These insights can include: Potential adverse event detection and reporting.

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CIO

JUNE 13, 2024

That’s what a number of IT leaders are learning of late, as the AI market and enterprise AI strategies continue to evolve. But purpose-built small language models (SLMs) and other AI technologies also have their place, IT leaders are finding, with benefits such as fewer hallucinations and a lower cost to deploy.

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