Marktechpost

NOVEMBER 7, 2023

Big language models (LLMs) are becoming increasingly skilled in programming in various contexts, such as finishing partly written code, interacting with human programmers, and even figuring out challenging programming riddles at the competition level. Figure 1: The LILO learning loop overview. (Al)

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Flipboard

JUNE 13, 2023

Diamond Bishop , CEO and co-founder at Augmend , a Seattle collaboration software startup Diamond Bishop, CEO of Augmend. Augmend Photo) “AI is making it so small startups like ours can accelerate all aspects of the software development lifecycle. It’s helpful with generating much of the boilerplate for unit tests.

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Unite.AI

MAY 28, 2024

Before MonsterAPI, he ran two startups, including one that developed a wearable safety device for women in India, in collaboration with the Government of India and IIT Delhi. Our Mission has always been “to help software developers fine-tune and deploy AI models faster and in the easiest manner possible.”

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AWS Machine Learning Blog

JUNE 5, 2023

Today, as part of Amazon Web Services’ partnership with Hugging Face, we are excited to announce the release of a new Hugging Face Deep Learning Container (DLC) for inference with Large Language Models (LLMs). Hosting LLMs at scale presents a unique set of complex engineering challenges. You can find our complete example notebook here.

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AWS Machine Learning Blog

MARCH 10, 2025

Visit octus.com to learn how we deliver rigorously verified intelligence at speed and create a complete picture for professionals across the entire credit lifecycle. With this LLM, CreditAI was now able to respond better to broader, industry-wide queries than before. Follow Octus on LinkedIn and X.

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Dlabs.ai

NOVEMBER 15, 2023

A recent MIT study points to this , showing how when white-collar workers had access to an assistive chatbot, it took them 40% less time to complete a task, while the quality of their work increased by 18%. The company just axed 28% of its workforce owing to a nosedive in traffic since the advent of LLM-based chatbots.

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Unite.AI

AUGUST 1, 2023

GPT-4: Prompt Engineering ChatGPT has transformed the chatbot landscape, offering human-like responses to user inputs and expanding its applications across domains – from software development and testing to business communication, and even the creation of poetry. This demonstrates a classic case of ‘knowledge conflict'.

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AWS Machine Learning Blog

JULY 1, 2024

The user prompt is augmented along with the results returned from the knowledge base as an additional context and sent to the LLM to generate a response. Create a knowledge base To create a new knowledge base in Amazon Bedrock, complete the following steps. You should see a Successfully built message when the build is complete.

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AWS Machine Learning Blog

OCTOBER 11, 2023

The LMI container has a powerful serving stack called DJL serving that is agnostic to the underlying LLM. It provides system-level configuration parameters that can be tuned for extracting the best performance of the hosting infrastructure for a given LLM. These cached key and value tensors are often referred to as the KV cache.

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AWS Machine Learning Blog

APRIL 8, 2024

This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).

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AWS Machine Learning Blog

AUGUST 22, 2024

The following figure shows the Discovery Navigator generative AI auto-summary pipeline. The generative AI large language model (LLM) can be prompted with questions or asked to summarize a given text. In that role, she completed and obtained CMS approval of hundreds of Medicare Set Asides.

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Flipboard

APRIL 13, 2023

For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.

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AWS Machine Learning Blog

DECEMBER 13, 2023

We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance. This compiles and serve an LLM on an Inf2 instance. The complete code samples with instructions can be found in this GitHub repository.

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AWS Machine Learning Blog

JUNE 13, 2023

Last week, Technology Innovation Institute (TII) launched TII Falcon LLM , an open-source foundational large language model (LLM). The result of this effort is TII Falcon LLM. SageMaker large model inference DLCs simplify LLM hosting Hosting LLMs such as Falcon-40B and Falcon-7B can be challenging.

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AWS Machine Learning Blog

NOVEMBER 30, 2023

Deploy a SageMaker model In the most basic scenario, all you need to do is select a deployable model from the Models page or an LLM from the SageMaker JumpStart page, select an instance type, set the initial instance count, and deploy the model. You can also edit the auto scaling policy on the Auto-scaling tab on this page.

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AWS Machine Learning Blog

AUGUST 5, 2024

This technique improves LLM inference throughput and output token latency (TPOT). Next, we perform auto-regressive token generation where the output tokens are generated sequentially. This means we will be repeating this process more times to complete the response, resulting in slower overall processing.

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AWS Machine Learning Blog

JULY 23, 2024

collection of multilingual large language models (LLMs), which includes pre-trained and instruction tuned generative AI models in 8B, 70B, and 405B sizes, is available through Amazon SageMaker JumpStart to deploy for inference. is an auto-regressive language model that uses an optimized transformer architecture. The Llama 3.1

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AWS Machine Learning Blog

MAY 31, 2023

Complete the following steps: Launch the provided CloudFormation template. When the stack is complete, you can move to the next step. Complete the following steps: On the Amazon ECR console, create a new repository. To do a complete cleanup, delete the CloudFormation stack to remove all resources created by this template.

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Flipboard

DECEMBER 13, 2024

Clearwaters LLM operations (LLMOps) pipeline plays a crucial role in this process, automating the evaluation and seamless integration of new models. This commitment to using the most effective LLMs for each unique task with cutting-edge technology and optimal performance is the cornerstone of Clearwaters approach.

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AWS Machine Learning Blog

MAY 4, 2023

For ultra-large models that don’t fit into a single accelerator, data flows directly between accelerators with NeuronLink, bypassing the CPU completely. These endpoints are fully managed and support auto scaling. xlarge" ) Refer to Developer Flows for more details on typical development flows of Inf2 on SageMaker with sample scripts.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

Llama 2 stands at the forefront of AI innovation, embodying an advanced auto-regressive language model developed on a sophisticated transformer foundation. In this post, we explore best practices for prompting the Llama 2 Chat LLM. The complete example is shown in the accompanying notebook.

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AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker AI makes sure that sensitive data stays completely within each customer’s SageMaker environment and will never be shared with a third party. Deepchecks Deepchecks specializes in LLM evaluation. Zuoyuan Huang is a Software Development Manager at AWS. You can find him on LinkedIn. You can find him on LinkedIn.

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AWS Machine Learning Blog

DECEMBER 11, 2024

Next, you need to index this data to make it available for a Retrieval Augmented Generation (RAG) approach, where relevant passages are delivered with high accuracy to a large language model (LLM). Complete the following steps to create your application: On the Amazon Q Business console, choose Applications in the navigation pane.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The integration of these multimodal capabilities has unlocked new possibilities for businesses and individuals, revolutionizing fields such as content creation, visual analytics, and software development. In the metadata.jsonl file, each example is a dictionary that contains three keys named file_name , prompt , and completion.

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AWS Machine Learning Blog

JANUARY 9, 2025

This process is like assembling a jigsaw puzzle to form a complete picture of the malwares capabilities and intentions, with pieces constantly changing shape. Deep Instinct, recognizing this need, has developed DIANNA (Deep Instincts Artificial Neural Network Assistant), the DSX Companion.

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AWS Machine Learning Blog

DECEMBER 2, 2024

For LLMs that often require high throughput and low-latency inference requests, this loading process can add significant overhead to the total deployment and scaling time, potentially impacting application performance during traffic spikes. This post is Part 1 of a series exploring Fast Model Loader.

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