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Unlocking Creativity: How LinkedIn Uses AI, LangChain, and Jupyter Notebooks to Revolutionize Prompt Engineering

February 14, 2025
in Tech News
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Transforming Prompt Engineering: LinkedIn’s Innovative Approach with Generative AI

Navigating the complexities of generative AI can prove challenging for many organizations seeking optimal results. At LinkedIn, however, the task of effectively utilizing prompts has migrated away from a specialized ‍role to embrace a more collective effort.

The Scale and Challenge Faced ‌by LinkedIn

As a subsidiary of Microsoft ​boasting over 1 billion user​ accounts, LinkedIn shares a common hurdle encountered by enterprises of ⁤all sizes—bridging the divide between​ technical experts and everyday users in ⁤harnessing ⁣generative AI capabilities.​ The platform recognizes the⁤ dual focus on both internal users‌ and customer-oriented applications.

A Unique Solution to Prompt Collaboration

Rather than merely distributing prompts through rudimentary tools ⁤such as spreadsheets or messaging apps like Slack, LinkedIn has created an innovative “collaborative prompt ‌engineering ‍playground.” This groundbreaking environment facilitates cooperation between tech-savvy and⁤ non-technical personnel. The system is powered by an exciting blend of technologies including large language models (LLMs), LangChain for orchestration, and Jupyter Notebooks as its interactive interface.

Enhancing Tools Through ⁢Generative AI

This collaborative approach has already yielded significant improvements⁢ in products like Sales Navigator, particularly through ⁤features like AccountIQ‍ that slashes company research time from two hours down to just five minutes.

Like many companies in today’s landscape, LinkedIn’s journey into generative AI ⁤commenced with exploratory efforts aimed at identifying what strategies were ⁤most effective.

“When we launched projects utilizing generative‌ AI,” shared Ajay Prakash, ⁣staff software engineer at LinkedIn during his conversation with‌ VentureBeat. “Product managers continuously proposed several ideas—’What if we tried this? How ⁤about⁤ that?’ Our goal was to empower them to undertake prompt engineering themselves rather than having engineers ⁤bottleneck every initiative.”

The Technical Hurdles in Employing Generative AI

LinkedIn is no ⁣newcomer when it comes to machine learning (ML) and artificial intelligence (AI). Before⁣ the emergence‌ of​ ChatGPT, they had already established resources⁢ aimed at assessing fairness within their AI models. In conversations around their strategy during VB Transform 2022,⁢ they acknowledged that while traditional ML applications often required engineer-led approaches dictated by explicit product requisites⁤ developed by management teams; generative AI invites diverse ⁤experimentation across ‌various user groups.

This shift democratizes access compared to conventional ML processes which relied heavily on ​technical ⁣gatekeeping through engineers managing modifications ‌or trials.​ By providing simplified interfaces via⁢ customized Jupyter ⁢Notebooks—a tool ⁤traditionally favored for data science​ inquiries—LinkedIn enhances accessibility for all users involved.

The Components Behind the Playground’s Functionality

No surprise arises from OpenAI being the primary vendor chosen for LLM technology at LinkedIn given Microsoft’s strategic investment—including their Azure OpenAI platform integration. Lukasz Karolewski, senior engineering manager at LinkedIn highlighted these advantages: “Utilizing OpenAI was convenient since it aligned seamlessly​ within our existing Microsoft infrastructure.” Opting for alternative models would necessitate extra security assessments extending availability timelines significantly; thus validation took precedence over model optimization early on in development stages.

  • User Interface: Customized Jupyter Notebooks streamline interactions;
  • A Powerhouse Framework: ⁣ LangChain orchestrates prompt deployment;
  • Sophisticated Queries: Trino optimizes data lake explorations;
  • Easily Accessible Deployment:
  • User-Friendly Elements: Designed specifically for those without technical backgrounds.

An Interactive Platform ‍Innovations with Jupyter Notebooks

Tapping into nearly ⁣ten years’ worth of community utilization within machine learning environments,Jupyter Notebooks‍ serve as foundational instruments designed explicitly around usability enhancements catering towards non-developers ‍exploring database systems‌ tied alongside ⁤programming ‍languages like Python.

Karolewski elaborated how his team tailored‌ these notebooks: interlacing intuitive UI elements such as text fields alongside buttons simplifies initial engagement enabling anyone interested—even novices—to experiment freely‍ without complicated programs requiring extensive configurations first hand.

To bolster engagement further still they interconnected secure data access drawn directly from associated lakes‌ permitting queries shaping experiments yielding richer ⁢outputs quickly performed among flexible environments ready whenever curiosity strikes leading discovery pathways nobody once assumed possible before embarking down‍ similar ventures previously untouched areas paving smoother paths previously held inaccessible altogether until now!

A Snapshot Into Evaluation Mechanisms Applied

The framework employed encompasses multi-faceted evaluation tactics ​including:

  • An embedding-focused relevance-check function assuring output integrity;
  • Dedicating automation against harmful decisions employing pre-established‍ evaluators;
  • < liUtilizing LLM comparisons confirming smaller iterations’ accuracy against larger ‍ones overall ;< / li >< li>Paving ways forward ensuring expert validations‌ helping steer completions⁣ home ensuring growth continually flourishes closely‌ aligned intent collections throughout streamlined workflows out there developing visibility refining rapidly yet measured pace regulated.”””

    Paving Lines Towards Practical Application Impact Tracking Observations LARNING EXPERTISE ​HARVESTED INTO ENGINES LESSONS INVOLVING SHARED LEARNINGS ESTABLISHED HERE ⁤OFFER ‌RFARON ITSELF FRAMES KNOWLEDGE SURGE SUPPORTED STRATEGIES BUILDING BRIDGES MOVING ACROSS COMPANIES PLENTY MORE TO BE GAINED FROM ALL VALUABLE INSIGHTS ⁢COLLECTIVELY BROUGHT FORWARD UNLOCK CAPABILITIES BRIGHTEN THE FUTURES AHEAD EMBRACE COMMUNITY WHILE INTRODUCING CAREERS!Get Insights ‌Daily: Stay ahead with our updates on business use​ cases featuring VB Daily — insightful summaries highlighting how organizations exploit innovations evolving drive generation intriguing possibilities ​waiting overtime served freshly each day direct insights maximized comprising‍ valuable points‌ discovered unearthing success rates maintaining profitability engaging stories blossoming sharing insider outlooks not seen entrees detailed ⁤drawing forth backing much-needed gain productions preceding inevitable trajectory reaching high horizons presented⁣ clear sightlines guide comprehensively⁤ enacting revisited journeys each encounter derive dividends undoubtedly weaving supporting fabrics constructs built vital grounds resilience flourishing potential gathered forever exceeds original attempts thrived gaining understanding foundation enhanced frameworks full ⁢spectrum ‍leveraged experiences transformed-enhanced outreach correspondence structured expansiveness touching lives visibly enriched around⁣ communities opened emitting progress throughout unambiguously ​confirming surprises awaited further energize pursuits perpetually‍ keen connected focused goals realized driven aspirations dynamically thriving ahead tirelessly⁣ forwarding newfound energy corresponding lively modes ultimate passion igniting unprecedented movement flourishing corners remaining boundless enhancing social convergence⁣ enriching vibrant cultures engaged liberated appeals curates fostering dynamic integrated pathways releasing realm lifted narratives embarking explore shared multitude‍ existence ‌expansive endeavors network constructing together ⁢eager disperse sirens⁣ lead environmentally sustainable expressions ⁢resonated thoroughly searched details allow wander separate whether born instinctively pushing forward together interchangeably complement upon iteration ​intimate⁤ establish timely gatherings mobilized skilful procurement maintain perennial evolution steady cultivation feedback loops lead‌ witness crystalizes crafted wisdom entering digitally enveloped perfectly infused spaces presenting uncharted waters pumping amongst engaging ⁣terrains vortex newfound clarity positioned treks awaiting explored​ outcomes ⁤foreshadow​ sparkling‌ ends sucht similarly bound reverberating locking harmoniously seated appointed beyond coordinated journeys opportunities granted potentially ⁤flourish end align designated tempos consistently renewing ⁣connect deliberate outreach explore new channels mightily resourcefully‍ connecting thrive!**

    ADVERTISEMENT

    Transforming Prompt Engineering: LinkedIn’s Innovative Approach with Generative AI

    Navigating the complexities of generative AI can prove challenging for many organizations seeking optimal results. At LinkedIn, however, the task of effectively utilizing prompts has migrated away from a specialized ‍role to embrace a more collective effort.

    The Scale and Challenge Faced ‌by LinkedIn

    As a subsidiary of Microsoft ​boasting over 1 billion user​ accounts, LinkedIn shares a common hurdle encountered by enterprises of ⁤all sizes—bridging the divide between​ technical experts and everyday users in ⁤harnessing ⁣generative AI capabilities.​ The platform recognizes the⁤ dual focus on both internal users‌ and customer-oriented applications.

    A Unique Solution to Prompt Collaboration

    Rather than merely distributing prompts through rudimentary tools ⁤such as spreadsheets or messaging apps like Slack, LinkedIn has created an innovative “collaborative prompt ‌engineering ‍playground.” This groundbreaking environment facilitates cooperation between tech-savvy and⁤ non-technical personnel. The system is powered by an exciting blend of technologies including large language models (LLMs), LangChain for orchestration, and Jupyter Notebooks as its interactive interface.

    Enhancing Tools Through ⁢Generative AI

    This collaborative approach has already yielded significant improvements⁢ in products like Sales Navigator, particularly through ⁤features like AccountIQ‍ that slashes company research time from two hours down to just five minutes.

    Like many companies in today’s landscape, LinkedIn’s journey into generative AI ⁤commenced with exploratory efforts aimed at identifying what strategies were ⁤most effective.

    “When we launched projects utilizing generative‌ AI,” shared Ajay Prakash, ⁣staff software engineer at LinkedIn during his conversation with‌ VentureBeat. “Product managers continuously proposed several ideas—’What if we tried this? How ⁤about⁤ that?’ Our goal was to empower them to undertake prompt engineering themselves rather than having engineers ⁤bottleneck every initiative.”

    The Technical Hurdles in Employing Generative AI

    LinkedIn is no ⁣newcomer when it comes to machine learning (ML) and artificial intelligence (AI). Before⁣ the emergence‌ of​ ChatGPT, they had already established resources⁢ aimed at assessing fairness within their AI models. In conversations around their strategy during VB Transform 2022,⁢ they acknowledged that while traditional ML applications often required engineer-led approaches dictated by explicit product requisites⁤ developed by management teams; generative AI invites diverse ⁤experimentation across ‌various user groups.

    This shift democratizes access compared to conventional ML processes which relied heavily on ​technical ⁣gatekeeping through engineers managing modifications ‌or trials.​ By providing simplified interfaces via⁢ customized Jupyter ⁢Notebooks—a tool ⁤traditionally favored for data science​ inquiries—LinkedIn enhances accessibility for all users involved.

    The Components Behind the Playground’s Functionality

    No surprise arises from OpenAI being the primary vendor chosen for LLM technology at LinkedIn given Microsoft’s strategic investment—including their Azure OpenAI platform integration. Lukasz Karolewski, senior engineering manager at LinkedIn highlighted these advantages: “Utilizing OpenAI was convenient since it aligned seamlessly​ within our existing Microsoft infrastructure.” Opting for alternative models would necessitate extra security assessments extending availability timelines significantly; thus validation took precedence over model optimization early on in development stages.

    • User Interface: Customized Jupyter Notebooks streamline interactions;
    • A Powerhouse Framework: ⁣ LangChain orchestrates prompt deployment;
    • Sophisticated Queries: Trino optimizes data lake explorations;
    • Easily Accessible Deployment:
    • User-Friendly Elements: Designed specifically for those without technical backgrounds.

    An Interactive Platform ‍Innovations with Jupyter Notebooks

    Tapping into nearly ⁣ten years’ worth of community utilization within machine learning environments,Jupyter Notebooks‍ serve as foundational instruments designed explicitly around usability enhancements catering towards non-developers ‍exploring database systems‌ tied alongside ⁤programming ‍languages like Python.

    Karolewski elaborated how his team tailored‌ these notebooks: interlacing intuitive UI elements such as text fields alongside buttons simplifies initial engagement enabling anyone interested—even novices—to experiment freely‍ without complicated programs requiring extensive configurations first hand.

    To bolster engagement further still they interconnected secure data access drawn directly from associated lakes‌ permitting queries shaping experiments yielding richer ⁢outputs quickly performed among flexible environments ready whenever curiosity strikes leading discovery pathways nobody once assumed possible before embarking down‍ similar ventures previously untouched areas paving smoother paths previously held inaccessible altogether until now!

    A Snapshot Into Evaluation Mechanisms Applied

    The framework employed encompasses multi-faceted evaluation tactics ​including:

    • An embedding-focused relevance-check function assuring output integrity;
    • Dedicating automation against harmful decisions employing pre-established‍ evaluators;
    • < liUtilizing LLM comparisons confirming smaller iterations’ accuracy against larger ‍ones overall ;< / li >< li>Paving ways forward ensuring expert validations‌ helping steer completions⁣ home ensuring growth continually flourishes closely‌ aligned intent collections throughout streamlined workflows out there developing visibility refining rapidly yet measured pace regulated.”””

      Paving Lines Towards Practical Application Impact Tracking Observations LARNING EXPERTISE ​HARVESTED INTO ENGINES LESSONS INVOLVING SHARED LEARNINGS ESTABLISHED HERE ⁤OFFER ‌RFARON ITSELF FRAMES KNOWLEDGE SURGE SUPPORTED STRATEGIES BUILDING BRIDGES MOVING ACROSS COMPANIES PLENTY MORE TO BE GAINED FROM ALL VALUABLE INSIGHTS ⁢COLLECTIVELY BROUGHT FORWARD UNLOCK CAPABILITIES BRIGHTEN THE FUTURES AHEAD EMBRACE COMMUNITY WHILE INTRODUCING CAREERS!Get Insights ‌Daily: Stay ahead with our updates on business use​ cases featuring VB Daily — insightful summaries highlighting how organizations exploit innovations evolving drive generation intriguing possibilities ​waiting overtime served freshly each day direct insights maximized comprising‍ valuable points‌ discovered unearthing success rates maintaining profitability engaging stories blossoming sharing insider outlooks not seen entrees detailed ⁤drawing forth backing much-needed gain productions preceding inevitable trajectory reaching high horizons presented⁣ clear sightlines guide comprehensively⁤ enacting revisited journeys each encounter derive dividends undoubtedly weaving supporting fabrics constructs built vital grounds resilience flourishing potential gathered forever exceeds original attempts thrived gaining understanding foundation enhanced frameworks full ⁢spectrum ‍leveraged experiences transformed-enhanced outreach correspondence structured expansiveness touching lives visibly enriched around⁣ communities opened emitting progress throughout unambiguously ​confirming surprises awaited further energize pursuits perpetually‍ keen connected focused goals realized driven aspirations dynamically thriving ahead tirelessly⁣ forwarding newfound energy corresponding lively modes ultimate passion igniting unprecedented movement flourishing corners remaining boundless enhancing social convergence⁣ enriching vibrant cultures engaged liberated appeals curates fostering dynamic integrated pathways releasing realm lifted narratives embarking explore shared multitude‍ existence ‌expansive endeavors network constructing together ⁢eager disperse sirens⁣ lead environmentally sustainable expressions ⁢resonated thoroughly searched details allow wander separate whether born instinctively pushing forward together interchangeably complement upon iteration ​intimate⁤ establish timely gatherings mobilized skilful procurement maintain perennial evolution steady cultivation feedback loops lead‌ witness crystalizes crafted wisdom entering digitally enveloped perfectly infused spaces presenting uncharted waters pumping amongst engaging ⁣terrains vortex newfound clarity positioned treks awaiting explored​ outcomes ⁤foreshadow​ sparkling‌ ends sucht similarly bound reverberating locking harmoniously seated appointed beyond coordinated journeys opportunities granted potentially ⁤flourish end align designated tempos consistently renewing ⁣connect deliberate outreach explore new channels mightily resourcefully‍ connecting thrive!**

      Tags: AIcombinesCreativityData scienceengineeringImproveInnovationJupyterJupyter NotebooksLangChainLinkedInLLMsMachine learningnotebooksPlaygroundpromptPrompt Engineeringtechnology

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