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Large Language Models LLM Software Development 
Analytics Vidhya
MAY 23, 2023
Especially if you’re in software development or data science. With advanced large […] The post 10 Exciting Projects on Large Language Models(LLM) appeared first on Analytics Vidhya. You can demonstrate your skills by creating smaller projects from start to finish.
Unite.AI
NOVEMBER 14, 2023
The era of manually crafting code is giving way to AI-driven systems, trained instead of programmed, signifying a fundamental change in software development. Ensuring ethical use and addressing these biases is crucial for the responsible development of AI-driven programming tools. appeared first on Unite.AI.
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The Intersection of AI and Sales: Personalization Without Compromise
How to Achieve High-Accuracy Results When Using LLMs
Relevance, Reach, Revenue: How to Turn Marketing Trends From Hype to High-Impact
Unite.AI
SEPTEMBER 18, 2024
The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit Claude 3 → 2.
Unite.AI
NOVEMBER 1, 2023
The software development industry is a domain that often relies on both consultation and intuition, characterized by intricate decision-making strategies. Furthermore, the development, maintenance, and operation of software require a disciplined and methodical approach. Documentation.
Analytics Vidhya
MAY 1, 2023
Replit is a software development platform that enables developers to set up development environments and release fully functional live apps in seconds. million developers globally. It plans to use the new funding to support its core development experience. […] The post Replit Raises $97.4
AWS Machine Learning Blog
JANUARY 7, 2025
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are able to compete with neural translation models such as Amazon Translate. However, the industry is seeing enough potential to consider LLMs as a valuable option.
Towards AI
NOVEMBER 14, 2024
From Beginner to Advanced LLM Developer Why should you learn to become an LLM Developer? Large language models (LLMs) and generative AI are not a novelty — they are a true breakthrough that will grow to impact much of the economy.
116 
Unite.AI
APRIL 25, 2024
The introduction of graphical user interfaces (GUIs) like Windows and MacOS has made modern operating systems more user-friendly and interactive, while also expanding the OS ecosystem with runtime libraries and a comprehensive suite of developer tools. Let's dive in.
200 
Unite.AI
JULY 8, 2024
The quest for efficiency and speed remains vital in software development. As artificial intelligence continues to advance, its ability to generate highly optimized code not only promises greater efficiency but also challenges traditional software development methods.
200 
Marktechpost
SEPTEMBER 9, 2023
Recent research has brought to light the extraordinary capabilities of Large Language Models (LLMs), which become even more impressive as the models grow. The idea of emerging abilities is intriguing because it suggests that with further development of language models, even more complex abilities might arise.
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.
NVIDIA
DECEMBER 24, 2024
Editors note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for GeForce RTX PC and NVIDIA RTX workstation users. For simple instructions on how to add local LLM support via Ollama , read Braves blog.
131 
AWS Machine Learning Blog
FEBRUARY 21, 2025
Large language models (LLMs) excel at generating human-like text but face a critical challenge: hallucinationproducing responses that sound convincing but are factually incorrect. No LLM invocation needed, response in less than 1 second. Partial match (similarity score 6080%): i.
111 
Analytics Vidhya
SEPTEMBER 12, 2024
Introduction Large language model (LLM) agents are the latest innovation boosting workplace business efficiency. Unlike typical task automation, LLM agents can also interpret and generate human-like text. They automate repetitive activities, boost collaboration, and provide useful insights across departments.
143 
AWS Machine Learning Blog
JUNE 11, 2024
Amazon Q Developer is an AI-powered assistant for software development that reimagines the experience across the entire software development lifecycle, making it faster to build, secure, manage, and optimize applications on or off of AWS. You can accept the plan or ask the agent to iterate on it.
AWS Machine Learning Blog
MARCH 5, 2025
However, traditional machine learning approaches often require extensive data-specific tuning and model customization, resulting in lengthy and resource-heavy development. Enter Chronos , a cutting-edge family of time series models that uses the power of large language model ( LLM ) architectures to break through these hurdles.
103 
Marktechpost
MARCH 7, 2024
The advent of Large Language Models for Code (Code LLMs) has significantly transformed the software development landscape, offering unprecedented capabilities in code generation, bug fixes, and even the automation of routine coding tasks.
AI Weekly
APRIL 11, 2024
We explore how AI can transform roles and boost performance across business functions, customer operations and software development. The Microsoft AI London outpost will focus on advancing state-of-the-art language models, supporting infrastructure, and tooling for foundation models.
264 
Marktechpost
MAY 27, 2024
Symflower has recently introduced DevQualityEval , an innovative evaluation benchmark and framework designed to elevate the code quality generated by large language models (LLMs). This release will allow developers to assess and improve LLMs’ capabilities in real-world software development scenarios.
NVIDIA
MARCH 13, 2024
Editor’s note: This post is part of our AI Decoded series , which aims to demystify AI by making the technology more accessible, while showcasing new hardware, software, tools and accelerations for RTX PC and workstation users. Medical researchers are training LLMs on textbooks and other medical data to enhance patient care.
Marktechpost
JULY 11, 2024
Software engineering is a dynamic field focused on the systematic design, development, testing, and maintenance of software systems. Recently, advancements in large language models (LLMs) have revolutionized these processes, enabling more sophisticated automation of software development tasks.
Marktechpost
AUGUST 12, 2024
The advent of Large Language Models (LLMs) offers a potential solution to this enduring problem. However, there are several concerns when applying LLMs to mainframe modernization. Challenges in Using LLMs for Mainframe Modernization : 1. FPT Software AI Center has supported us in this content/article.
MARCH 31, 2025
Agentic design An AI agent is an autonomous, intelligent system that uses large language models (LLMs) and other AI capabilities to perform complex tasks with minimal human oversight. Flows CrewAI Flows provide a structured, event-driven framework to orchestrate complex, multi-step AI automations seamlessly.
174 
AWS Machine Learning Blog
MARCH 25, 2025
In this post, we demonstrate how to enhance enterprise productivity for your large language model (LLM) solution by using the Amazon Q index for ISVs. Siddhant Gupta is a Software Development Manager on the Amazon Q team based in Seattle, WA.
90 
Marktechpost
MARCH 9, 2024
In recent research, a team of researchers has introduced SynCode, a versatile and efficient approach for generating syntactically accurate code across various programming languages. SynCode works with a variety of Large Language Model (LLM) decoding algorithms, including beam search, sampling, and greedy.
Unite.AI
SEPTEMBER 11, 2023
With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue. Last time we delved into AutoGPT and GPT-Engineering , the early mainstream open-source LLM-based AI agents designed to automate complex tasks.
328 
AI Weekly
MARCH 28, 2024
Powered by global.ntt In the News Top Artificial Intelligence Books to Read in 2024 Artificial Intelligence (AI) has been making significant strides over the past few years, with the emergence of Large Language Models (LLMs) marking a major milestone in its growth. theguardian.com Amazon invests an additional $2.75
264 
deepsense.ai
JULY 30, 2023
To start simply, you could think of LLMOps ( Large Language Model Operations) as a way to make machine learning work better in the real world over a long period of time. As previously mentioned: model training is only part of what machine learning teams deal with. What is LLMOps? Why are these elements so important?
Marktechpost
NOVEMBER 23, 2024
Google Gemini AI Course for Beginners This beginner’s course provides an in-depth introduction to Google’s AI model and the Gemini API, covering AI basics, Large Language Models (LLMs), and obtaining an API key. It’s ideal for those looking to build AI chatbots or explore LLM potentials.
106 
AI Weekly
FEBRUARY 29, 2024
We explore how AI can transform roles and boost performance across business functions, customer operations and software development. We explore how AI can transform roles and boost performance across business functions, customer operations and software development.
Marktechpost
MARCH 2, 2024
Large Language Models (LLMs) have emerged as a powerful ally for developers, promising to revolutionize how coding tasks are approached. Current methodologies for integrating LLMs into IDEs often rely on general-purpose models that, while powerful, may only deliver optimal performance across some coding scenarios.
FEBRUARY 25, 2025
Our mission, at a high level, is to bring autonomy to software engineering, says Factory CEO Matan Grinberg, who founded the company with CTO Eno Reyes. Software developers of the future will be delegating away some tasks, he says. Factory aims to go beyond the code-autocomplete features offered by tools such as GitHub Copilot.
Marktechpost
SEPTEMBER 19, 2024
Artificial intelligence, particularly using Large Language Models (LLMs), has significantly impacted this field. LLMs now automate tasks like code generation, debugging, and software testing, reducing human involvement in these repetitive tasks.
Unite.AI
SEPTEMBER 27, 2023
The success of ChatGPT opened many opportunities across industries, inspiring enterprises to design their own large language models. Having been there for over a year, I've recently observed a significant increase in LLM use cases across all divisions for task automation and the construction of robust, secure AI systems.
304 
IBM Journey to AI blog
SEPTEMBER 3, 2024
Many leading tech companies are pouring billions of dollars into training large language models (LLMs). “This is across all industries and disciplines, from transforming HR processes and marketing transformations through branded content to contact centers or software development.”
308 
NVIDIA
JUNE 7, 2023
Researchers at NYU Langone Health, the academic medical center of New York University, have collaborated with NVIDIA experts to develop a large language model (LLM) that predicts a patient’s risk of 30-day readmission, as well as other clinical outcomes. Nearly 15% of hospital patients in the U.S.
Towards AI
JANUARY 20, 2025
Much of becoming a great LLM developer and building a great LLM product is about integrating advanced techniques and customization to help an LLM pipeline ultimately cross a threshold where the product is good enough for widescale adoption. It is a programming language-agnostic 1-day LLM Bootcamp designed for developers.
104 
Marktechpost
JULY 4, 2023
Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.
Towards AI
MARCH 15, 2024
Photo by Martin Martz on Unsplash A new trend has recently reshaped our approach to building software applications: the rise of large language models (LLMs) and their integration into software development. Let’s look at LLM-powered application characters first.
Marktechpost
JUNE 6, 2023
These models are particularly Transformer-based large language models (LLMs) pretrained on large-scale code data (“Code LLMs”). Despite LLMs’ clear benefits, most developers still find it difficult and time-consuming to create and implement such models from scratch.
NVIDIA
MARCH 18, 2025
Alongside the new hardware, NVIDIA announced a suite of AI-powered tools, libraries and software development kits designed to accelerate AI development on PCs and workstations. ChatRTX is a demo app that personalizes a LLM connected to a users content, whether documents, notes, images or other data.
104 
Marktechpost
AUGUST 10, 2024
Large Language Models (LLMs) have significantly impacted software engineering, primarily in code generation and bug fixing. These models leverage vast training data to understand and complete code based on user input.
Marktechpost
MARCH 22, 2025
Large language models (LLMs) are rapidly transforming into autonomous agents capable of performing complex tasks that require reasoning, decision-making, and adaptability. These agents are deployed in web navigation, personal assistance, and software development.
101 
Topbots
AUGUST 31, 2023
With the rush to adopt generative AI to stay competitive, many businesses are overlooking key risks associated with LLM-driven applications. Our analysis is informed by the OWASP Top 10 for LLM vulnerabilities list, which is published and constantly updated by the Open Web Application Security Project (OWASP).
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