Marktechpost

JUNE 4, 2023

Augmented LLMs are the ones that are added with external tools and skills in order to increase their performance so that they perform beyond their inherent capabilities. Applications like Auto-GPT for autonomous task execution have been made possible by Augmented Language Models (ALMs) only.

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AWS Machine Learning Blog

MARCH 10, 2025

By surrounding unparalleled human expertise with proven technology, data and AI tools, Octus unlocks powerful truths that fuel decisive action across financial markets. 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.

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NVIDIA

MARCH 6, 2024

AI can be thought of as the ability for a device to perform tasks autonomously, by ingesting and analyzing enormous amounts of data, then recognizing patterns in that data — often referred to as being “trained.” For this reason, AI is broadly seen as both disruptive and highly transformational. It’s up to 4.5x faster on RTX vs. Mac.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Additionally, we cover the seamless integration of generative AI tools like Amazon CodeWhisperer and Jupyter AI within SageMaker Studio JupyterLab Spaces, illustrating how they empower developers to use AI for coding assistance and innovative problem-solving. Choose Create JupyterLab space. Choose Create space.

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Unite.AI

AUGUST 1, 2023

In the context of LLMs, ‘hallucination' signifies the tendency of these models to generate outputs that might seem reasonable but are not rooted in factual reality or the given input context. The AI tool, faltering due to its hallucination problem, cited non-existent legal cases.

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AWS Machine Learning Blog

MARCH 28, 2024

LangChain is an open source Python library designed to build applications with LLMs. It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. Create a question embedding.

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NVIDIA

APRIL 3, 2024

With ACE, Riva’s automatic speech recognition (ASR) feature processes what was said and uses AI to deliver a highly accurate transcription in real time. The transcription then goes into an LLM — such as Google’s Gemma, Meta’s Llama 2 or Mistral — and taps Riva’s neural machine translation to generate a natural language text response.

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deepsense.ai

OCTOBER 8, 2023

Usually agents will have: Some kind of memory (state) Multiple specialized roles: Planner – to “think” and generate a plan (if steps are not predefined) Executor – to “act” by executing the plan using specific tools Feedback provider – to assess the quality of the execution by means of auto-reflection.

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Marktechpost

JULY 17, 2023

To that end, they introduce Auto-GPT (An Autonomous GPT-4 Experiment), a free program demonstrating how LLMs like GPT-4 may be used to develop and handle various activities independently, like writing code or developing business ideas. Very resource intensive. ” Check out the Github.

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ODSC - Open Data Science

OCTOBER 11, 2023

For more complex issues like label errors, you can again simply filter out all the auto-detected bad data. For instance, when fine-tuning various LLM models on a text classification task (politeness prediction), this auto-filtering improves LLM performance without any change in the modeling code!

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AWS Machine Learning Blog

APRIL 16, 2024

To learn more about SageMaker Studio JupyterLab Spaces, refer to Boost productivity on Amazon SageMaker Studio: Introducing JupyterLab Spaces and generative AI tools. To store information in Secrets Manager, complete the following steps: On the Secrets Manager console, choose Store a new secret.

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Dlabs.ai

NOVEMBER 15, 2023

The likelier scenario is tools like ChatGPT will simply increase our output. 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%. That’s how we see tools like ChatGPT at DLabs.AI.

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The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. Is it accessible from your language/framework/infrastructure, framework, or infrastructure?

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Mlearning.ai

JULY 9, 2023

One of the biggest challenges of using LLMs is the cost of accessing them. Many LLMs, such as OpenAI’s GPT-3, are only available through paid APIs. Learn how to deploy any open-source LLM as a free API endpoint using HuggingFace and Gradio. Many LLMs, such as OpenAI’s GPT-3, are only available through paid APIs.

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Robot Writers AI

DECEMBER 24, 2023

For a look at the complete guide published by OpenAI, click here. In other AI-generated news and analysis: *In-Depth Guide: AI Fiction-Writer Sudowrite: A long-time favorite among fiction writers, AI writer Sudowrite gets an extremely in-depth look from reviewer Janine Heinrichs in this piece. from OpenAI.

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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. LLMOps is key to turning LLMs into scalable, production-ready AI tools.

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Viso.ai

MAY 29, 2024

Some original Tesla features are embedded into the robot, such as a self-running computer, autopilot cameras, a set of AI tools, neural network planning , auto-labeling for objects, etc. The data from multiple sensors are combined and processed to create a complete understanding of the environment.

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Mlearning.ai

DECEMBER 22, 2023

Write a response that appropriately completes the request.nn" question = sample["prompt"].replace("nn### strip() answer = sample["completion"].replace("n### Write a response that appropriately completes the request.nn" question = sample["prompt"].replace("nn### 1 on the Billboard 200??

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Unite.AI

SEPTEMBER 4, 2023

However, the world of LLMs isn't simply a plug-and-play paradise; there are challenges in usability, safety, and computational demands. In this article, we will dive deep into the capabilities of Llama 2 , while providing a detailed walkthrough for setting up this high-performing LLM via Hugging Face and T4 GPUs on Google Colab.

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Unite.AI

JANUARY 22, 2025

That requires first preparing and encoding data to load into a vector database, and then retrieving data via search to add to any prompt as context as input to a Large Language Model (LLM) that hasnt been trained using this data. So the data needs to be prepared in such a way to work well for both vector searches and for LLMs.

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Unite.AI

AUGUST 15, 2023

How to Use StableCode Amid the rise of AI-driven tools, StableCode stands out as a coding-specific LLM, offering a unique experience that melds coding efficiency with advanced AI capabilities. If you're keen on navigating this transformative tool, here's a simple guide to kick-start your StableCode journey.

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Marktechpost

JULY 15, 2023

In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT. Here are some other open-source large language models (LLMs) that are revolutionizing conversational AI. LLaMA Release date : February 24, 2023 LLaMa is a foundational LLM developed by Meta AI.

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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

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. DIANNA is a groundbreaking malware analysis tool powered by generative AI to tackle real-world issues, using Amazon Bedrock as its large language model (LLM) infrastructure.

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