PromptLayer

🚀 New Blog Post: Prompt Engineering Guide to Summarization 📚 The second installment in our prompt engineering tutorial series is now available! This guide explores advanced techniques for creating powerful summarization agents using language models. Key insights from the post: 1️⃣ Extractive vs. Abstractive Summarization Extractive summarization selects and uses exact sentences from the original text, ideal for preserving wording in legal or technical documents. Abstractive summarization rewrites content in new words, improving readability for blogs or opinion pieces. 2️⃣ Handling Large Documents and Iterative Refinement A basic chunking technique breaks text into 500-token segments, summarizes each chunk, then combines these summaries. This process is refined through multi-turn prompts, focusing on main arguments and discarding minor details for a more coherent and accurate final output. 3️⃣ Domain-Specific Summarization Fine-tuning models on specialized datasets enhances understanding of domain-specific terminology and concepts, crucial for fields like medical research. Check it out 👇 https://lnkd.in/eFcDR_jC

Check out this fun blogpost by Erich Hellstrom where we compare GPT o1 with 4o! Be sure not to skip the end, that is where we have side-by-side examples. https://lnkd.in/etebBwGg

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🚀 New Blog Alert! 🚨 Check out this fantastic intro to prompt engineering by Mohamed Ahmed Taher on the PromptLayer blog: https://lnkd.in/e8mMR9K2 🔑 Key highlights: - What prompts are and why they matter - The stateless nature of LLMs - Anatomy of an effective prompt - Tips for crafting masterful prompts This article is just the beginning! 📚 It's the first in a series that will dive deeper into specific applications and advanced strategies for prompt engineering.

A must attend if your are in Paris!

These are ALL of the best-in-class tools every early-stage startup should be using: 🌳 Fundraising CRM: Attio Deck: Gamma Investor updates: Cabal Cap table: Pulley 🖼️ Design & brand Interface design / whiteboard: Figma Landing pages: Webflow Graphic design: Modyfi Swag: SwagUp Motion design: Jitter 💳 Finance Bank account: Mercury Credit card / expenses: Ramp Payroll: Deel Incorporation: doola Insurance: Vouch Insurance SaaS financing: Gynger Revenue insights: Alta Revenue Platform Taxes: Gelt 🏗️ Operations & admin Wiki/notes/projects: Notion Team comms: Slack Recruiting: Ashby Forms: Tally Internal tool-building: Budibase Automation: Zapier Scheduling: Cal.com, Inc. 🎙️ Marketing & sales Social media: Buffer Sales deal rooms: Dock Outbound: SellScale Recording: Riverside.fm Meeting notes: Otter.ai Events: Luma Buying signals: Pocus Customer interactions: Rengage 🏗️ Technology & product Analytics: PostHog Cloud: Vercel AI: Anthropic VectorDB: Pinecone Email: Loops Database: Supabase Prompt engineering: PromptLayer Bug tracking: Jam.dev Coding: Cursor Chat: Intercom SMS: Twilio What tools am I missing?

I’ve been using PromptLayer for the past year and it’s been a game-changer for the team. Excited to share a case study on how we use PromptLayer at Speak! PromptLayer helps us prompt engineer to massively scale our operational capacity. Using PromptLayer, I was able to generate large volumes of curriculum content across multiple languages and skill levels via a series of complex chain prompting. Something that would have taken months took a single week! As we scaled the product into new languages this year, content and translation work also piled up. We used PromptLayer as a tool to build localized content & refine prompts. It saved us weeks per market launch. Check out the full case study here: https://lnkd.in/gqRVP2g5

Speak is building the best way to learn a new language, powered by LLMs. As they expanded to over 10 new markets this last year, PromptLayer helped them generate content, refine prompts, and scale content workflows. Launching in a new language became quicker, and tasks that would have normally taken months took a single week. PromptLayer enabled non-technical teams at Speak, particularly in content and product, to iterate on AI features without requiring constant engineering support. Read the full case study: https://lnkd.in/enfJ98rZ

Building a startup is about dialectics. Extreme urgency / 10-year gameplan Obsession with details / imagination of the future Insatiable work ethic / celebrating wins PromptLayer team went out to celebrate a revenue milestone! Steak, some drinks, then back to working on the next goal 🥩 🍰 Acknowledge wins, but don’t rest

Talking prompt engineering and demoing PromptLayer tonight with DataStax