Stephan Theron’s Post

🚀 Domain Experts & Domain-Trained Models are Maximizing AI Potential  🚀 When generative AI models are trained or augmented with domain-specific data, domain experts become the key to unlocking AI’s full potential. Their deep knowledge enables them to craft precise prompts, driving accurate and valuable outcomes. The Data Context Hub (DCH) platform is essential in establishing this robust data layer, empowering experts to maximize AI’s effectiveness in their fields. Learn more in this https://lnkd.in/dEdYZ6Ep #AI #PromptEngineering #DomainExpertise #DataContextHub #DigitalTransformation

Excited to present my latest blog article, 'A Developer’s Guide to Effective Prompt Engineering: Harnessing AI Power.' I encourage you to read and share your thoughts.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a world that is rapidly embracing large language models (LLMs), prompt engineering has emerged as a new skill to unlocking th

Check this out: GPT-4oi preview released today - the release version is meeting and _surpassing_ PhD-level reasoning and logic in testing. AI is crazy. The entirety of generaitelabs.com is generated. All of the articles are produced by an AI swarm I made to read the discord server, figure out some good topics based on what people are talking about, and then research/write/edit/publish an article. There are like 70 draft articles sitting there waiting to be released. I'm going to repost this one because it's so relevant today! I was talking about chain of thought the other day, my Pulse app ran and started researching reflection/chain of thought, and the Reflection70b LLM. It wrote the article attached - I wanted to collect these ideas because they help us work better with the LLMs by understanding how to get good results. A couple days later GPT-4oi comes out! And that's the whole theme here, is better logic through reflection and chain-of-thought planning and execution occurring before the answer. GPT-4oi works by streaming heaps of words "chain of thought" before giving an answer to essentially "think," plan and reason, before arriving on an answer. This is the next major goal in generative AI, is to accomplish complex planning and reasoning. And it's getting close now. https://lnkd.in/gcEQyjHh

https://lnkd.in/ew7FxTmQ I recently was asked what skills/roles are going to be pivot in the near term. Prompt Enginering is absolutley the most valuable. Developing this skill unlocks the most value out of Generative AI. Great article by Deven Panchal.

Unlocking the Future: Why Prompt Engineering is a Critical Skill in the Age of AI" Prompt engineering is quickly becoming one of the most in-demand skills in the AI era 🤖💡. As large language models (LLMs) like GPT transform industries—from customer service and healthcare to marketing and education—knowing how to craft the right prompts is key 🔑. Whether it's generating creative content, solving complex problems, or improving user interactions, mastering prompt engineering empowers us to fully leverage the power of AI 🌍. Get ready to shape the future with the right prompts! Check out the article from #Venturebeat! https://lnkd.in/ghDeUEQ3 #AI #PromptEngineering #Innovation #TechSkills #ArtificialIntelligence #FutureOfWork #LLMs #AIFuture #Automation #InnovationInTech

In a world rapidly embracing large language models (LLMs), prompt engineering emerges as a pivotal skill in unlocking their full potential. It's the language that enables us to communicate with these intelligent AI systems, reshaping how we work, create, and problem-solve. Even your grandma can program complex multi-billion parameter AI systems in the cloud with prompt engineering. LLMs, built on deep learning algorithms, learn patterns, grammar, relationships, and reasoning abilities from vast text datasets. By tuning internal settings and using prompts during the inferencing stage, they generate contextually relevant, human-quality text, hold conversations, translate languages, and more. Crafting well-designed prompts is crucial as they significantly influence the quality and relevance of LLM outputs. Prompt engineering is both an art and a science—it involves designing prompts to elicit accurate, relevant, and creative outputs aligned with user intent. The impact of a tailored prompt is profound; for instance, when requesting a personal assistant to "make a reservation for dinner," the more information provided, the more precise and useful the result. Mastering prompt engineering is key to leveraging the full power of AI systems. https://lnkd.in/g33hxkEd #PromptEngineering #AIInnovation #LLM #FutureOfWork #GenerativeAI #DigitalTransformation #MondayMorning

'AI Prompt Engineering Is Dead': The hype around AI language models has companies scrambling to hire prompt engineers to improve their AI queries and create new products. But new research hints that the AI may be better at prompt engineering than humans, indicating many of these jobs could be short-lived as the technology evolves and automates the role. IEEE Spectrum: Battle and Gollapudi decided to systematically test [PDF] how different prompt engineering strategies impact an LLM's ability to solve grade school math questions. They tested three different open source language models with 60 different prompt combinations each. What they found was a surprising lack of consistency. Even chain-of-thought prompting sometimes helped and other times hurt performance. "The only real trend may be no trend," they write. "What's best for any given model, dataset, and prompting strategy is likely to be specific to the particular combination at hand." There is an alternative to the trial-and-error style prompt engineering that yielded such inconsistent results: Ask the language model to devise its own optimal prompt. Recently, new tools have been developed to automate this process. Given a few examples and a quantitative success metric, these tools will iteratively find the optimal phrase to feed into the LLM. Battle and his collaborators found that in almost every case, this automatically generated prompt did better than the best prompt found through trial-and-error. And, the process was much faster, a couple of hours rather than several days of searching. Read more of this story at Slashdot.

🚀 𝗧𝗵𝗲 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝗰𝗲 𝗼𝗳 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗶𝗻 𝗔𝗜 🚀 In the world of AI, crafting the right prompts is crucial for obtaining the best outputs from language models like GPT. Mastering prompt engineering can significantly enhance your interactions with AI models. Here are the key points: 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲 𝗣𝗿𝗼𝘃𝗶𝗱𝗲 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗦𝗽𝗲𝗰𝗶𝗳𝘆 𝘁𝗵𝗲 𝗧𝗮𝘀𝗸 𝗕𝗿𝗲𝗮𝗸𝗱𝗼𝘄𝗻 𝘁𝗵𝗲 𝗦𝘁𝗲𝗽𝘀 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁 𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀/𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗚𝗼𝗮𝗹.  𝗦𝗽𝗲𝗰𝗶𝗳𝘆 𝗢𝘂𝘁𝗽𝘂𝘁 𝗙𝗼𝗿𝗺𝗮𝘁 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿 𝗧𝗼𝗸𝗲𝗻 𝗖𝗼𝘀𝘁 𝗨𝘁𝗶𝗹𝗶𝘇𝗲 𝗦𝗶𝗻𝗴𝗹𝗲 𝗪𝗼𝗿𝗱𝘀 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 READ MY FULL BLOG ON HASHNODE #AI #MachineLearning #PromptEngineering #GPT #TechTips #Hashnode

🚀 Curious about how to get a #largelanguagemodel running in less than 2 minutes? Check out our article where we explore how Ollama simplifies this process. Perfect for speeding up your #AI projects ⬇️ https://ow.ly/6rE950SPR5T