Unite.AI

AUGUST 28, 2023

Current Landscape of AI Agents AI agents, including Auto-GPT, AgentGPT, and BabyAGI, are heralding a new era in the expansive AI universe. AI Agents vs. ChatGPT Many advanced AI agents, such as Auto-GPT and BabyAGI, utilize the GPT architecture. Their primary focus is to minimize the need for human intervention in AI task completion.

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AssemblyAI

SEPTEMBER 29, 2023

Using Automatic Speech Recognition (also known as speech to text AI , speech AI, or ASR), companies can efficiently transcribe speech to text at scale, completing what used to be a laborious process in a fraction of the time. It would take weeks to filter and categorize all of the information to identify common issues or patterns.

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Unite.AI

OCTOBER 18, 2023

Developing such a model is an exhaustive task, and constructing an application that harnesses the capabilities of an LLM is equally challenging. Given the extensive time and resources required to establish workflows for applications that utilize the power of LLMs, automating these processes holds immense value.

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AWS Machine Learning Blog

JANUARY 7, 2025

However, the industry is seeing enough potential to consider LLMs as a valuable option. The following are a few potential benefits: Improved accuracy and consistency LLMs can benefit from the high-quality translations stored in TMs, which can help improve the overall accuracy and consistency of the translations produced by the LLM.

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Towards AI

APRIL 7, 2024

Instead of formalized code syntax, you provide natural language “prompts” to the models When we pass a prompt to the model, it predicts the next words (tokens) and generates a completion. In this technique, a few logical reasoning steps are added to the prompt as examples for the LLM to understand how to arrive at the desired outcome.

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Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

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AWS Machine Learning Blog

OCTOBER 15, 2024

Auto code completion – It enhances the developer experience by offering real-time suggestions and completions in popular integrated development environments (IDEs), reducing chances of syntax errors and speeding up the coding process. Data preparation In this phase, prepare the training and test data for the LLM.

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NVIDIA

OCTOBER 17, 2023

Today, generative AI on PC is getting up to 4x faster via TensorRT-LLM for Windows, an open-source library that accelerates inference performance for the latest AI large language models, like Llama 2 and Code Llama. This follows the announcement of TensorRT-LLM for data centers last month.

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Marktechpost

JANUARY 20, 2024

Stable AI has recently released a new state-of-the-art model, Stable-Code-3B , designed for code completion in various programming languages with multiple additional capabilities. Stable-Code-3B is an auto-regressive language model based on the transformer decoder architecture. The model is a follow-up on the Stable Code Alpha 3B.

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. It can also modernize legacy code and translate code from one programming language to another.

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Towards AI

NOVEMBER 15, 2024

Generated with Microsoft Designer With the second anniversary of the ChatGPT earthquake right around the corner, the rush to build useful applications based on large language models (LLMs) of its like seems to be in full force. I believe they are highly relevant to other LLM based applications just as much.

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Marktechpost

MARCH 18, 2025

By combining LLMs’ creative generation abilities with retrieval systems’ factual accuracy, RAG offers a solution to one of LLMs’ most persistent challenges: hallucination. join([doc.page_content for doc in expanded_retrieved_docs]) # Create prompt for the LLM prompt = f"""<|system|> You are a helpful AI assistant.

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Unite.AI

SEPTEMBER 11, 2023

Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks. Enter MetaGPT — a Multi-agent system that utilizes Large Language models by Sirui Hong fuses Standardized Operating Procedures (SOPs) with LLM-based multi-agent systems.

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AWS Machine Learning Blog

MARCH 19, 2025

In many generative AI applications, a large language model (LLM) like Amazon Nova is used to respond to a user query based on the models own knowledge or context that it is provided. This is the default behavior, so it is consistent with providing no tool choice at all. If the model selects a tool, there will be a tool block and text block.

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Marktechpost

JANUARY 23, 2024

The KV cache is not removed from the radix tree when a generation request is completed; it is kept for both the generation results and the prompts. In the second scenario, compiler optimizations like code relocation, instruction selection, and auto-tuning become possible. The researchers used Hugging Face TGI v1.3.0, advice v0.1.8,

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Unite.AI

MAY 27, 2024

Another innovative technique is the Tree of Thoughts (ToT) prompting, which allows the LLM to generate multiple lines of reasoning or “thoughts” in parallel, evaluate its own progress towards the solution, and backtrack or explore alternative paths as needed.

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Marktechpost

JUNE 19, 2024

MixEval Achieving a balance between thorough user inquiries and effective grading systems is necessary for evaluating LLMs. Conventional standards based on ground truth and LLM-as-judge benchmarks encounter difficulties such as biases in grading and possible contamination over time.

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Marktechpost

OCTOBER 18, 2023

Large language models (LLMs) such as ChatGPT and Llama have garnered substantial attention due to their exceptional natural language processing capabilities, enabling various applications ranging from text generation to code completion. We are also on WhatsApp. Join our AI Channel on Whatsapp.

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Towards AI

MAY 6, 2024

Since Meta released the latest open-source Large Language Model (LLM), Llama3, various development tools and frameworks have been actively integrating Llama3. Compared to traditional auto-completion tools, Copilot produces more detailed and intelligent code.

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Marktechpost

MAY 1, 2024

Although many LLM acceleration methods aim to decrease the number of non-zero weights, sparsity is the quantity of bits divided by weight. In addition, speculative decoding is a common trend in LLM acceleration. The researchers use an example prompt to examine what occurs in each tier of an LLM to support their approach.

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Marktechpost

NOVEMBER 7, 2023

It will be necessary to expand the capabilities of current code completion tools—which are presently utilized by millions of programmers—to address the issue of library learning to solve this multi-objective optimization. Figure 1: The LILO learning loop overview. (Al)

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Unite.AI

MAY 29, 2024

Evaluating LLM Performance The challenge of evaluating LLMs' performance is met with a strategic approach, incorporating task-specific metrics and innovative evaluation methodologies. Image and Document Processing Multimodal LLMs have completely replaced OCR.

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Flipboard

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. There are two models in this implementation: the embeddings model and the LLM that generates the final response.

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AssemblyAI

JUNE 20, 2024

Downstream analytics and LLMs Many features are built on top of speech data and transcripts that allow information to be extracted from recorded speech in a meaningful way. For content with more than one speaker, diarization is needed to assign different AI translated voices to each speaker.

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Marktechpost

NOVEMBER 24, 2024

However, the efficiency of LLMs in real-world deployment remains a challenge due to their substantial resource demands, particularly in tasks requiring sequential token generation. One promising solution is Speculative Decoding (SD), a method designed to accelerate LLM inference without compromising generated output quality.

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Mlearning.ai

JULY 4, 2023

This is probably the easiest way to run an LLM for free on your PC Created using Midjourney. If you would like to be able to test different LLMs locally for free and happen to have a GPU powered PC at home you’re in luck — thanks to the wonderful Open Source community, running different LLMs on Windows is very straightforward.

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Marktechpost

JUNE 15, 2024

This limitation hinders the advancement of LLM capabilities and their application in diverse, real-world scenarios. Existing methods for generating instruction datasets fall into two categories: human-curated data and synthetic data produced by LLMs. The model then generates diverse user queries based on these templates.

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Flipboard

JUNE 13, 2023

For instance, we’ve used LLM models, including ChatGPT, with a fair amount of success to assist with internal tasks like migrating from one programming language to another, helping developers understand legacy code written by other colleagues, or writing functions for converting data formats. .”

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AWS Machine Learning Blog

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. Model Variants The current DeepSeek model collection consists of the following models: DeepSeek-V3 An LLM that uses a Mixture-of-Experts (MoE) architecture.

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AWS Machine Learning Blog

APRIL 1, 2025

Prerequisites To complete the solution, you need to have the following prerequisites in place: uv package manager Install Python using uv python install 3.13

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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

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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NVIDIA

MARCH 18, 2024

For example, an Avatar configurator can allow designers to build unique, brand-inspired personas for their cars, complete with customized voices and emotional attributes. Li Auto unveiled its multimodal cognitive model, Mind GPT, in June.

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Flipboard

MARCH 18, 2025

Anyspheres Cursor tool, for example, helped advance the genre from simply completing lines or sections of code to building whole software functions based on the plain language input of a human developer. Coding assistants grew considerablyboth in capability and usageduring 2024.

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Bugra Akyildiz

MARCH 16, 2025

ThunderMLA builds upon and substantially improves DeepSeek's FlashMLA through the implementation of a completely fused "megakernel" architecture, achieving performance gains of 20-35% across various workloads. Moreover, users can easily extend to other LLM training and inference frameworks.

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IBM Journey to AI blog

NOVEMBER 24, 2023

Generating configuration management inputs (for CMDB)and changing management inputs based on release notes generated from Agility tool work items completed per release are key Generative AI leverage areas. The ability to generate insights for security validation (from application and platform logs, design points, IAC, etc.)

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NVIDIA

MARCH 6, 2024

AI development is always oriented around developing systems that perform tasks that would otherwise require human intelligence, and often significant levels of input, to complete — only at speeds beyond any individual’s or group’s capabilities. Magic Mask has completely changed that workflow. It’s up to 4.5x faster on RTX vs. Mac.

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