Artificial Corner

AUGUST 3, 2023

Prompt engineering in under 10 minutes — theory, examples and prompting on autopilot Master the science and art of communicating with AI. Prompt engineering is the process of coming up with the best possible sentence or piece of text to ask LLMs, such as ChatGPT, to get back the best possible response.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Explainability 98

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.

Python 328

Python Software Development OpenAI Software Engineer 328

AWS Machine Learning Blog

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt.

ESG 99

ESG Generative AI LLM Prompt Engineer 99

Marktechpost

NOVEMBER 19, 2024

LLMs, like GPT-4 and Llama 3, have shown promise in handling such tasks due to their advanced language comprehension. Current LLM-based methods for anomaly detection include prompt engineering, which uses LLMs in zero/few-shot setups, and fine-tuning, which adapts models to specific datasets.

Large Language Models 79

Large Language Models BERT Prompt Engineer Prompt Engineering 79

O'Reilly Media

MARCH 25, 2025

Lets be real: building LLM applications today feels like purgatory. The truth is, we’re in the earliest days of understanding how to build robust LLM applications. Most teams approach this like traditional software development but quickly discover it’s a fundamentally different beast. Leadership gets excited.

LLM 69

LLM Software Development Prompt Engineer Prompt Engineering 69

AWS Machine Learning Blog

JANUARY 4, 2024

Specifically, we discuss the following: Why do we need Text2SQL Key components for Text to SQL Prompt engineering considerations for natural language or Text to SQL Optimizations and best practices Architecture patterns Why do we need Text2SQL? Effective prompt engineering is key to developing natural language to SQL systems.

Prompt Engineer 136

Prompt Engineer Prompt Engineering Generative AI LLM 136

Flipboard

JUNE 13, 2023

Prompt: “A robot helping a software engineer develop code.” ” Generative AI is already changing the way software engineers do their jobs. Redfin Photo) “We’ve already found a number of places where AI tools are making our engineers more efficient. ” Kevin Leneway.

Generative AI 181

Generative AI Auto-complete Software Engineer AI 181

ODSC - Open Data Science

MARCH 5, 2025

Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI. In the ever-expanding world of data science, the landscape has changed dramatically over the past two decades.

Data Science 52

Data Science Software Engineer Data Scientist Machine Learning 52

Marktechpost

NOVEMBER 14, 2024

However, a significant challenge persists in developing open-source code LLMs, as their performance consistently lags behind state-of-the-art models. This performance gap primarily stems from the proprietary training datasets used by leading LLM providers, who maintain strict control over these crucial resources.

LLM 90

LLM Large Language Models Algorithm Software Engineer 90

ODSC - Open Data Science

OCTOBER 3, 2024

Best Practices for Prompt Engineering in Claude, Mistral, and Llama Every LLM is a bit different, so the best practices for each may differ from one another. Got an LLM That Needs Some Work? Here’s a guide on how to use three popular ones: Llama, Mistral AI, and Claude.

Prompt Engineer 40

Prompt Engineer Prompt Engineering LLM Data Science 40

AWS Machine Learning Blog

MARCH 4, 2024

Amazon Bedrock is a game changer, it allows us to leverage LLMs without the complexity.” The engineering team experienced the immediate ease of getting started with Amazon Bedrock. Working closely with the prompt engineering team, Chu advocated to implement a prompt chaining strategy as opposed to a single monolith prompt approach.

NLP 119

NLP Prompt Engineer Prompt Engineering LLM 119

AWS Machine Learning Blog

FEBRUARY 12, 2025

For a demonstration on how you can use a RAG evaluation framework in Amazon Bedrock to compute RAG quality metrics, refer to New RAG evaluation and LLM-as-a-judge capabilities in Amazon Bedrock. For more information on application security, refer to Safeguard a generative AI travel agent with prompt engineering and Amazon Bedrock Guardrails.

Auto-classification 81

Auto-classification Metadata Generative AI Machine Learning 81

Towards AI

MARCH 15, 2024

In this article, I aim to share my experience as a software engineer using a question-driven approach to designing an LLM-powered application. The design is similar to a traditional application but considers LLM-powered application-specific characters and components. Let’s look at LLM-powered application characters first.

Large Language Models 105

Large Language Models LLM Software Engineer Prompt Engineer 105

Towards AI

MARCH 28, 2024

This week, I’m super excited to announce that we are finally releasing our book, ‘Building AI for Production; Enhancing LLM Abilities and Reliability with Fine-Tuning and RAG,’ where we gathered all our learnings. The design is similar to a traditional application but considers LLM-powered application-specific characters and components.

Large Language Models 97

Large Language Models Prompt Engineer Prompt Engineering LLM 97

Towards AI

JUNE 18, 2024

About Building LLMs for Production Generative AI and LLMs are transforming industries with their ability to understand and generate human-like text and images. However, building reliable and scalable LLM applications requires a lot of extra work and a deep understanding of various techniques and frameworks.

Large Language Models 79

Large Language Models Prompt Engineer Prompt Engineering LLM 79

AWS Machine Learning Blog

AUGUST 9, 2024

RAG enables LLMs to generate more relevant, accurate, and contextual responses by cross-referencing an organization’s internal knowledge base or specific domains, without the need to retrain the model. The question and context are combined and fed as a prompt to the LLM.

Data Ingestion 121

Data Ingestion Metadata LLM Generative AI 121

AWS Machine Learning Blog

SEPTEMBER 14, 2023

The following risks and limitations are associated with LLM based queries that a RAG approach with Amazon Kendra addresses: Hallucinations and traceability – LLMS are trained on large data sets and generate responses on probabilities. The PII is not stored, used by Amazon Kendra, or fed to the LLM.

Generative AI 114

Generative AI LLM Large Language Models Software Engineer 114

TheSequence

JANUARY 19, 2024

With LLMs, you start with a pre-trained model and can customize that same model for many different applications via a technique called " prompt engineering ". Prompt engineering is now one of the key skills in AI application development. LLMs change this.

Prompt Engineer 59

Prompt Engineer Prompt Engineering Generative AI Large Language Models 59

deepsense.ai

DECEMBER 11, 2024

Now, some of you may say that the point of having new powerful AI is also to avoid mundane, foundational work and workarounds to 15 corner cases – which can end up being expensive or limited by your software engineering resources. So, it’s getting much, much cheaper to build software. Here are a few approaches.

LLM 52

LLM UX Design ChatGPT Software Engineer 52

deepsense.ai

OCTOBER 30, 2023

In this blog post we walk you through our journey creating an LLM-based code writing agent from scratch – fine tuned-for your needs and processes – and we share our experience of how to improve it iteratively. Our solution excels in planning due to effective prompt engineering with few-shot examples.

Data Science 116

Data Science LLM Software Engineer Data Scientist 116

AWS Machine Learning Blog

AUGUST 14, 2023

To learn more about instruction tuning, refer to Zero-shot prompting for the Flan-T5 foundation model in Amazon SageMaker JumpStart. Zero-shot learning in NLP allows a pre-trained LLM to generate responses to tasks that it hasn’t been specifically trained for. You can add the kwarg # instance_type to change this setting.

NLP 82

NLP Prompt Engineer Prompt Engineering Robotics 82

The MLOps Blog

FEBRUARY 15, 2024

Due to the rise of LLMs and the shift towards pre-trained models and prompt engineering, specialists in traditional NLP approaches are particularly at risk. Even small and relatively weaker LLMs like DistilGPT2 and t5-small have surpassed classical NLP models in understanding context and generating coherent text.

NLP 59

NLP Natural Language Processing Data Scientist Software Engineer 59

ODSC - Open Data Science

FEBRUARY 28, 2024

building a deeper understanding of this hot LLM paradigm’s weaknesses, strengths, and limitations ,” there to learn more about Retrieval Augmentation Generation! Retrieval Augmented Generation (RAG) is by far one of the most popular and effective techniques to bring LLMs to production. This is a classic LLM hallucination.

LLM 52

LLM Chatbots Data Science Software Engineer 52

ODSC - Open Data Science

JULY 7, 2023

Most of the discussions have focused on the implications for writers, designers, software engineers, researchers, lawyers, and administrative workers. This brings up the idea of ‘prompt engineering’ as a specific skill, or even role — but this slightly misses the point.

Explainability 59

Explainability Data Science AI AI 59

Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. Then comes prompt engineering. People just basically try different prompts.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

Snorkel AI

MARCH 2, 2023

Ali Arsanjani, director of cloud partner engineering at Google Cloud , presented a talk entitled “Challenges and Ethics of DLM and LLM Adoption in the Enterprise” at Snorkel AI’s recent Foundation Model Virtual Summit. Then comes prompt engineering. People just basically try different prompts.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Neural Network 52

ODSC - Open Data Science

JANUARY 7, 2025

Theyre looking for people who know all related skills, and have studied computer science and software engineering. As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. While knowing Python, R, and SQL is expected, youll need to go beyond that.

Data Scientist 40

Data Scientist Data Science Deep Learning Machine Learning 40

AWS Machine Learning Blog

APRIL 16, 2024

This adaptation is facilitated through the use of LLM prompts. The way you craft a prompt can profoundly influence the nature and usefulness of the AI’s response. This capability enables you to scale the solution to a wider audience, allowing users to generate SQL queries from natural language inputs using custom hosted LLMs.

Data Scientist 109

Data Scientist Generative AI Machine Learning ML 109

The MLOps Blog

JUNE 27, 2023

The platform also offers features for hyperparameter optimization, automating model training workflows, model management, prompt engineering, and no-code ML app development. This article by Samhita Alla, a software engineer and tech evangelist at Union.ai, provides a simplified walkthrough of the applications of Flyte in MLOps.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

OCTOBER 23, 2024

Agent Creator is a no-code visual tool that empowers business users and application developers to create sophisticated large language model (LLM) powered applications and agents without programming expertise. This step is vital for integrating enterprise-specific knowledge into AI prompts, enhancing the relevance and accuracy of AI responses.

Generative AI 75

Generative AI IDP LLM Automation 75

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. Here are some notable examples: Legal Domain Law LLM Assistant SaulLM-7B Equall.ai

Natural Language Processing 204

Natural Language Processing Large Language Models Data Scarcity LLM 204

Flipboard

NOVEMBER 24, 2023

Anthropic, an AI safety and research lab that builds reliable, interpretable, and steerable AI systems, is one of the leading AI companies that offers access to their state-of-the art LLM, Claude, on Amazon Bedrock. Anthropic offers both Claude and Claude Instant models, all of which are available through Amazon Bedrock.

ETL 157

ETL Prompt Engineer Prompt Engineering Generative AI 157

Flipboard

DECEMBER 6, 2023

Tools like LangChain , combined with a large language model (LLM) powered by Amazon Bedrock or Amazon SageMaker JumpStart , simplify the implementation process. These multi-level approaches are advantageous when dealing with text with tokens longer than the limit of an LLM, enabling an understanding of complex narratives.

BERT 166

BERT Large Language Models Artificial Intelligence Artificial Intelligence 166

Marktechpost

MARCH 7, 2025

Yet, even with all these developments, building and tailoring LLM agents is still a daunting task for most users. With a mere 0.03% of the world’s population having the necessary coding skills, the mass deployment of LLM agents is beyond the reach of non-technical users.

Automation 87

Automation LLM AI Automation Software Engineer 87

AWS Machine Learning Blog

JUNE 27, 2024

Because no single large language model (LLM) is perfect for every task, we knew that building a personal AI assistant would require multiple LLMs optimized specifically for a variety of tasks. Tahir Azim is a Staff Software Engineer at NinjaTech. Examples include our Deep Researcher, Deep Coder, and Advisor models.

Software Engineer 117

Software Engineer Large Language Models AI AI 117

AWS Machine Learning Blog

SEPTEMBER 9, 2024

This enables Domo to optimize model performance through prompt engineering, preprocessing, and postprocessing, and provide contextual information and examples to the AI system. The tools provide the agent with access to data and functionality beyond what is available in the underlying LLM.

Software Architect 111

Software Architect Generative AI AI AI 111

Mlearning.ai

JUNE 16, 2023

Game changer ChatGPT in Software Engineering: A Glimpse Into the Future | HackerNoon Generative AI for DevOps: A Practical View - DZone ChatGPT for DevOps: Best Practices, Use Cases, and Warnings. The article has good points with any LLM Use prompt to guide. The data would be interesting to analyze.

Software Development 52

Software Development Generative AI ChatGPT Prompt Engineer 52