Almog Baku
@AlmogBaku
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Entrepreneur, Hacker, Leader, Developer.
Israel
Joined September 2014
You do know that VSCode-based IDEs (such cursor) eating you alive, right?.
The subscription pricing for IDEs, .NET Tools, dotUltimate, and the All Products Pack will be increased starting October 1, 2025. You can still lock in current rates by prepaying for up to 3 years. Visit our blog to learn more:
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איך מדבגים אפליקציות LLM? הרי שהמודל טועה – אין לנו מושג למה. במאמר שכתבתי ל @geektimecoil , אני מציע דרכים להבין טעויות של מודלים בעזרת פידבק אמיתי מהפרודקשן. לא ליטוש פרומפטים. הבנה אמיתית. #GenAI #LLM #Feedback.
geektime.co.il
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A few weeks ago, I had the pleasure of participating in the @aiDotEngineer Summit and talking about The LLM Triangle Principles. Long story short - your'e welcome to join me to watch the show 🤩.
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RT @aiDotEngineer: @bernhardsson @chipro Full playlist here: Next set of speakers is the "Lessons Learned" block!….
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Excited to launch `pytest-evals` - A (minimalistic) pytest plugin that helps you to evaluate that your LLM is giving good answers. If you like it - star it pls 🤩.
github.com
A pytest plugin for running and analyzing LLM evaluation tests. - AlmogBaku/pytest-evals
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RT @CherylWroteIt: A group of young Israelis booked a hotel in Italy for a few days… and this is the response they got from the hotel on Bo….
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RT @haggai_segal: הגיע הזמן שהיהודים יחליטו את מי הם רוצים לנצח - זה את זה או את סינוואר ונסראללה.
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🎙️ Excited to join LangTalks podcast to discuss LLM app development from initial POC to production!.We dive into the process of building practical AI solutions. 🔊 Listen (Hebrew): Thanks @galperetz2 @LeeTwito!.#AIEngineering #LLM.
open.spotify.com
LangTalks · Episode
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RT @TDataScience: What should you do to bridge the demo-to-production gap when developing LLM-powered applications? . @AlmogBaku presents a….
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RT @TDataScience: From the economics of generative tools to the challenges of causal inference, our weekly highlights focus on the big ques….
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RT @TDataScience: From defining clear cognitive-process boundaries to continuous iteration, @AlmogBaku offers eight concrete tips for impro….
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7/7 P.S. don't forget to clap the article 50 times 😅😘😎🙏. Let me know what tou think and what’s your 2 cents or tips 😎. And special thanks to @Yampeleg and Liton Izhaki for the insights 🙏❤️.
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6/7 These are just 4 of the 8 tips I cover in my latest article. Want to learn the other 4 and dive deeper into each tip?. If you found this thread helpful, please RT to share with your network!.
towardsdatascience.com
How to boost your LLM-native apps with 8 actionable prompt engineering tips for performance, production readiness, and optimized workflows.
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5/7 Tip 4: Iterate, Iterate, Iterate!. Continuous experimentation is key. Each iteration is an opportunity to enhance your application's performance. Discover more tips:
towardsdatascience.com
How to boost your LLM-native apps with 8 actionable prompt engineering tips for performance, production readiness, and optimized workflows.
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4/7 Tip 3: Leverage Structured Data (YAML). YAML is particularly effective for LLM interactions. It focuses token usage on valuable content rather than syntax.
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3/7 Tip 2: Implement Guardrails. Use validations to ensure quality and moderation of LLM outputs. This is crucial for reliable AI applications. Curious about how? Read on:
towardsdatascience.com
How to boost your LLM-native apps with 8 actionable prompt engineering tips for performance, production readiness, and optimized workflows.
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