Unite.AI

DECEMBER 5, 2023

As a result, it's critical that we start thinking about where and how to reskill the workforce for an age of AI-powered software. According to a study by PwC , up to 30% of jobs in the UK could be automated by the early 2030s. The Impact of AI on the workforce AI is already having a significant impact on the workforce.

AI 312

AI AI AI Tools Natural Language Processing 312

Flipboard

JUNE 13, 2023

.” Generative AI is already changing the way software engineers do their jobs. GitHub Copilot, Amazon CodeWhisperer, ChatGPT, Tabnine, and various other AI coding tools are quickly gaining traction, helping developers automate mundane tasks and freeing them up to work on more challenging problems.

Generative AI 175

Generative AI Auto-complete Software Engineer AI 175

TheSequence

MARCH 11, 2024

Take lessons from traditional software A large proportion of teams now building great products with LLMs aren't experienced ML practitioners. Conveniently many of the goals and best practices from software development are broadly still relevant when thinking about LLM evals. Unit tests tend to be the hardest to emulate for LLMs.

LLM 52

LLM Categorization Software Development Prompt Engineer 52

deepsense.ai

JULY 30, 2023

Model training is only a small part of a typical machine learning project (source: own study) Of course, in the context of Large Language Models, we often talk about just fine tuning, few-shot learning or just prompt engineering instead of a full training procedure. Not the best combination, right?

Large Language Models 76

Large Language Models LLM Machine Learning Automation 76

Unite.AI

SEPTEMBER 27, 2023

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. Both data and LLM models can save banks and other financial services millions by enhancing automation, efficiency, accuracy, and more.

Generative AI 304

Generative AI Large Language Models Prompt Engineer Prompt Engineering 304

AWS Machine Learning Blog

NOVEMBER 6, 2023

The good news is that automating and solving the summarization challenge is now possible through generative AI. Using LLMs to automate call summarization allows for customer conversations to be summarized accurately and in a fraction of the time needed for manual summarization.

Automation 104

Automation Generative AI LLM AI 104

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. Code-Review Mechanisms for MetaGPT Code review is a critical component in the software development life cycle, yet it is absent in several popular frameworks.

Python 328

Python OpenAI Software Development Software Engineer 328

AWS Machine Learning Blog

MAY 1, 2024

It allows you to retrieve data from sources beyond the foundation model, enhancing prompts by integrating contextually relevant retrieved data. You can use prompt engineering to prevent hallucination and make sure that the answer is grounded in the source documentations. file for deploying the solution using the AWS CDK.

Chatbots 98

Chatbots Automation Machine Learning DevOps 98

AWS Machine Learning Blog

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Generative AI 122

Generative AI LLM ML AI 122

Topbots

SEPTEMBER 11, 2023

AI development is a highly collaborative enterprise. In traditional software development, you work with a relatively clear dichotomy consisting of the backend and the frontend components. All of this might require new skills on your team such as prompt engineering and conversational design.

AI 59

AI AI UX Design Automation 59

Unite.AI

AUGUST 30, 2023

AI's dual-faceted role in the workforce: Positive Aspects : AI can automate plenty of tasks, from customer service to financial advice, granting a reprieve to small enterprises that lack funds for dedicated teams. This statistic underlines the merging of AI and human roles.

Auto-complete 162

Auto-complete OpenAI Python AI 162

AWS Machine Learning Blog

MAY 9, 2024

Through some slick prompt engineering and using Claude’s latest capabilities to invoke APIs, Verisk seamlessly accessed their database to procure real-time information. The techniques they explored—multi-stage querying, tuning relevance, enriching data—became core elements of their approach for extracting quality automated answers.

Insight Engine 114

Insight Engine Generative AI LLM AI 114

deepsense.ai

DECEMBER 20, 2023

Retail is also experiencing a transformation with edge AI, where automated checkout systems and AR-enhanced in-store navigation are redefining the shopping experience. The automotive industry stands out in its adoption of edge AI, especially in developing autonomous vehicles.

AI 70

AI AI Software Development LLM 70

Mlearning.ai

JUNE 16, 2023

Increase your productivity in software development with Generative AI As I mentioned in Generative AI use case article, we are seeing AI-assisted developers. SDLC stages Let’s review software development lifecycle first. Then software development phases are planned to deliver the software.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52

O'Reilly Media

NOVEMBER 28, 2023

Automating the process of building complex prompts has become common, with patterns like retrieval-augmented generation (RAG) and tools like LangChain. And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

Generative AI 108

Generative AI AI AI Data Analysis 108

AWS Machine Learning Blog

SEPTEMBER 14, 2023

Specific use case: Automate issue resolution for employees based on corporate guidelines. He holds a Master’s degree in Software Engineering and IT from Oakland University. He has a prior experience in software development, specifically in building microservices for distributed web applications.

Generative AI 94

Generative AI LLM Large Language Models Software Engineer 94

Topbots

MARCH 18, 2024

ChatGPT has fundamentally changed the way we can tackle a broad array of tasks, introducing unprecedented levels of automation and intelligence into our workflows. However, leveraging this technology effectively often hinges on the user’s ability to craft precise and insightful prompts – a skill not everyone possesses.

AI Tools 52

AI Tools Artificial Intelligence Artificial Intelligence Prompt Engineer 52

Unite.AI

AUGUST 21, 2023

This not only makes it a valuable asset for tech professionals but also empowers those without coding knowledge to perform complex computational tasks.

ChatGPT 246

ChatGPT Prompt Engineer Prompt Engineering Python 246

Unite.AI

MARCH 13, 2024

Advanced techniques like transfer learning, retrieval-augmented generation, and prompt engineering are often employed to enhance the model's performance and adapt it to the target domain.

Large Language Models 204

Large Language Models Natural Language Processing LLM Data Scarcity 204

Flipboard

NOVEMBER 24, 2023

This emergent ability in LLMs has compelled software developers to use LLMs as an automation and UX enhancement tool that transforms natural language to a domain-specific language (DSL): system instructions, API requests, code artifacts, and more. The SnapLogic pipeline is rendered to the user in a visual friendly manner.

ETL 112

ETL Prompt Engineer Prompt Engineering Generative AI 112

Marktechpost

JANUARY 3, 2024

Some notable highlights include the ability to chain multiple LLM models for intricate pipelines, a vector database with connectors to enhance LLM responses using private data, app templates for quick use-case-specific development, collaborative app editing, and prompt engineering capabilities.

LLM 124

LLM Large Language Models Chatbots Machine Learning 124