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Ecosia's search results are [in parts] provided by its own search index, Staan, developed by the co-founded European Search Perspective (EUSP) -- https://en.wikipedia.org/wiki/Ecosia
57 lines
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57 lines
158 KiB
HTML
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<meta name="description" content="Ecosia uses 100% of its profits for the planet and produces enough renewable energy to power all searches twice over.">
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<meta property="og:title" name="og:title" content="Ecosia - the search engine that plants trees">
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<meta property="og:description" name="og:description" content="Ecosia uses 100% of its profits for the planet and produces enough renewable energy to power all searches twice over.">
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<div id="app" data-server-rendered="true"><div class="layout" data-v-cf0da602 data-v-e535bc57><!----><a href="#main" data-test-id="layout-skip-link" variant="solid-white" as="a" class="button layout__skip-link button base-button base-button--variant-solid-white base-button--size-s base-button--elevation-0 base-button--text-size-s layout__skip-link button button--icon-position-start" data-v-3f81533f data-v-cf0da602><span class="button__content" data-v-d023ccb5><!----><!----><span data-test-id="button-text" class="button__text" data-v-d023ccb5> Skip to main content </span></span></a><!----><!----><!----><div data-test-id="layout-header" class="main-header main-header--border main-header--is-at-top main-header--is-sticky-minimal" data-v-ad03ee09><!----><header aria-label="Main header" data-test-id="main-header-content" class="main-header__content" data-v-ad03ee09><div class="main-header__navigation" data-v-ad03ee09><div class="main-header__logo-wrapper" data-v-ad03ee09><div class="main-header__logo" data-v-ad03ee09><a href="/" aria-label="Ecosia Homepage" rel="noopener" data-test-id="main-header-logo" class="main-header__logo-link main-header__logo-link logo" data-v-1340b595 data-v-ad03ee09><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 70 20" aria-hidden="true" data-test-id="logo-icon" class="logo__icon" data-v-1340b595><path fill="currentColor" d="m63.153 4.534 1.276 7.909h-2.554zm6.845 13.81L67.054 1.656h-7.802l-2.944 16.688h4.616l.614-3.845h3.238l.61 3.845zm-19.799 0h4.907V1.656h-4.907zm-6.65-9.19c-1.324-.505-1.594-.799-1.594-1.258 0-.581.49-.895 1.521-.895 1.423 0 2.993.483 4.514 1.088V2.696c-1.054-.871-2.943-1.403-4.882-1.403-3.364 0-5.373 1.596-5.373 4.426 0 2.467 1.276 3.628 4.196 4.692l1.08.388c1.176.432 1.57.75 1.57 1.281 0 .411-.246.92-1.473.92-1.693 0-3.73-.823-5.128-1.573v6.023c1.325.677 3.41 1.257 5.472 1.257 3.51 0 5.52-1.451 5.52-4.547 0-2.104-.859-3.29-4.146-4.523zM32.829 10c0 1.91-.76 3.023-2.527 3.023-1.766 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0m-2 8a2 2 0 1 0 0-4 2 2 0 0 0 0 4" clip-rule="evenodd"></path></svg></button><!----></div></div></div></div><!----></div><div class="result__title" data-v-86ad651d><a data-test-id="result-link" href="https://www.reddit.com/r/LocalLLaMA/comments/1mfrq3v/what_is_tool_use_exactly/" target="_self" rel="noopener" class="result__link result__link link link--as-a link--color-result link--variant-primary" data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> What is "tool use", exactly? : r/LocalLLaMA - Reddit </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> 02.08.2025 ... The best resource to understand tools is Meta's "Toolformer" paper, which invented the idea of tool-calling agents. </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-web" class="mainline__result-wrapper" data-v-ae503b7b><article aria-label="What Are Tools in the Scope of LLMs and Why Are They So ..." data-test-id="organic-result" class="result web-result mainline__result" data-v-86ad651d data-v-68c00620 data-v-ae503b7b><div class="result__body" data-v-86ad651d><div class="result__header" data-v-86ad651d><div class="result__info result__info--extended" data-v-86ad651d><span aria-hidden="true" data-test-id="web-result-favicon" class="favicon__container web-result__favicon favicon__container--fallback" data-v-68c00620><!----><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 16 16" class="favicon__fallback icon icon--icon-atlas icon--size-s" 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fill-rule="evenodd" d="M14 6a2 2 0 1 1-4 0 2 2 0 0 1 4 0m0 6a2 2 0 1 1-4 0 2 2 0 0 1 4 0m-2 8a2 2 0 1 0 0-4 2 2 0 0 0 0 4" clip-rule="evenodd"></path></svg></button><!----></div></div></div></div><!----></div><div class="result__title" data-v-86ad651d><a data-test-id="result-link" href="https://alnutile.medium.com/what-are-tools-in-the-scope-of-llms-and-why-are-they-so-important-f57f76190e58" target="_self" rel="noopener" class="result__link result__link link link--as-a link--color-result link--variant-primary" data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> What Are Tools in the Scope of LLMs and Why Are They So ... </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> 20.06.2024 ... The LLM then decides whether it needs to employ any of these tools to fulfill your request. If it determines that a tool is necessary, it ... </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-web" class="mainline__result-wrapper" data-v-ae503b7b><article aria-label="From RAG to Tool Use - Cohere" data-test-id="organic-result" class="result web-result mainline__result" data-v-86ad651d data-v-68c00620 data-v-ae503b7b><div class="result__body" data-v-86ad651d><div class="result__header" data-v-86ad651d><div class="result__info result__info--extended" data-v-86ad651d><span aria-hidden="true" data-test-id="web-result-favicon" class="favicon__container web-result__favicon favicon__container--fallback" data-v-68c00620><!----><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 16 16" class="favicon__fallback icon icon--icon-atlas icon--size-s" data-v-e4df0f6a><path fill="currentColor" fill-rule="evenodd" d="M8.022 1.337a6.685 6.685 0 1 0 0 13.37 6.685 6.685 0 0 0 0-13.37m-5.18 5.348a5.36 5.36 0 0 0 0 2.674h1.9a14 14 0 0 1 0-2.674zm.547-1.337h1.553c.142-.684.338-1.31.578-1.852q.06-.136.126-.266a5.37 5.37 0 0 0-2.257 2.118m2.697 1.337a12.6 12.6 0 0 0 0 2.674h3.872a12.7 12.7 0 0 0 0-2.674zm3.646-1.337h-3.42c.116-.49.262-.93.43-1.309.22-.493.463-.85.7-1.076.234-.222.428-.289.58-.289s.347.067.58.289c.237.225.48.583.7 1.076.168.379.314.82.43 1.31m1.57 1.337a14 14 0 0 1 0 2.674h1.9a5.36 5.36 0 0 0 0-2.674zm1.353-1.337h-1.553a9 9 0 0 0-.578-1.852q-.06-.136-.126-.266c.945.469 1.73 1.209 2.257 2.118m-7.01 7.467a5.37 5.37 0 0 1-2.256-2.119h1.553c.142.685.338 1.31.578 1.852q.06.136.126.267m1.097-.81a7.5 7.5 0 0 1-.43-1.309h3.42c-.116.49-.262.93-.43 1.31-.22.493-.463.85-.7 1.076-.233.222-.428.288-.58.288s-.346-.066-.58-.288c-.237-.226-.48-.583-.7-1.077m3.782.543c.24-.541.436-1.167.578-1.852h1.553a5.37 5.37 0 0 1-2.257 2.119q.066-.13.126-.267" clip-rule="evenodd"></path></svg></span><div class="result-info result-info--complex" 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data-v-68c00620><!----><button aria-label="Result feedback" aria-expanded="false" aria-controls="uid-692777-organic-result-feedback-modal" aria-haspopup="dialog" data-test-id="organic-result-feedback-label-mobile" class="organic-result-feedback__label organic-result-feedback__label--mobile web-result__feedback--link organic-result-feedback organic-result-feedback--tooltip-side-left-center" data-v-7276ad47><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" fill="none" viewBox="0 0 24 24" data-test-id="organic-result-feedback-more-icon" aria-hidden="true" class="organic-result-feedback__more-icon icon icon--icon-more-solid icon--size-m" data-v-e4df0f6a><path fill="currentColor" fill-rule="evenodd" d="M14 6a2 2 0 1 1-4 0 2 2 0 0 1 4 0m0 6a2 2 0 1 1-4 0 2 2 0 0 1 4 0m-2 8a2 2 0 1 0 0-4 2 2 0 0 0 0 4" clip-rule="evenodd"></path></svg></button><!----></div></div></div></div><!----></div><div class="result__title" data-v-86ad651d><a data-test-id="result-link" href="https://cohere.com/llmu/from-rag-to-tool-use" target="_self" rel="noopener" class="result__link result__link link link--as-a link--color-result link--variant-primary" data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> From RAG to Tool Use - Cohere </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> While tool use is a broader concept that encompasses the use of various external systems and tools to enhance LLM capabilities, function calling, on the other ... </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-web" class="mainline__result-wrapper" 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data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> What is an LLM Tool? | Vercel Knowledge Base </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> 10.11.2025 ... Learn what tools are, how tool calling works, and how you can use them to build agents. ... 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Packages ... </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-web" class="mainline__result-wrapper" data-v-ae503b7b><article aria-label="Large language model - Wikipedia" data-test-id="organic-result" class="result web-result mainline__result" data-v-86ad651d data-v-68c00620 data-v-ae503b7b><div class="result__body" data-v-86ad651d><div class="result__header" data-v-86ad651d><div class="result__info result__info--extended" data-v-86ad651d><span aria-hidden="true" data-test-id="web-result-favicon" class="favicon__container web-result__favicon favicon__container--fallback" data-v-68c00620><!----><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 16 16" class="favicon__fallback icon icon--icon-atlas icon--size-s" data-v-e4df0f6a><path fill="currentColor" fill-rule="evenodd" d="M8.022 1.337a6.685 6.685 0 1 0 0 13.37 6.685 6.685 0 0 0 0-13.37m-5.18 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link--color-result link--variant-primary" data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> Tool Calling with Local LLMs: A Practical Evaluation - Docker </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> 30.06.2025 ... OpenAI's GPT-4 or GPT-3.5 worked as expected, and the experience was fairly smooth. Called tools when they were needed; Avoided unnecessary tool ... </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-web" class="mainline__result-wrapper" data-v-ae503b7b><article aria-label="Function Calling with LLMs - Prompt Engineering Guide" data-test-id="organic-result" class="result web-result mainline__result" data-v-86ad651d data-v-68c00620 data-v-ae503b7b><div class="result__body" data-v-86ad651d><div class="result__header" data-v-86ad651d><div class="result__info result__info--extended" data-v-86ad651d><span aria-hidden="true" data-test-id="web-result-favicon" class="favicon__container web-result__favicon favicon__container--fallback" data-v-68c00620><!----><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 16 16" class="favicon__fallback icon icon--icon-atlas icon--size-s" data-v-e4df0f6a><path fill="currentColor" fill-rule="evenodd" 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class="result__title" data-v-86ad651d><a data-test-id="result-link" href="https://www.promptingguide.ai/applications/function_calling" target="_self" rel="noopener" class="result__link result__link link link--as-a link--color-result link--variant-primary" data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> Function Calling with LLMs - Prompt Engineering Guide </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> 01.02.2026 ... Function calling is the ability to reliably connect LLMs to external tools to enable effective tool usage and interaction with external APIs. </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-web" class="mainline__result-wrapper" data-v-ae503b7b><article aria-label="LLM Agents and Tool Use - Uni Mannheim" data-test-id="organic-result" class="result web-result mainline__result" data-v-86ad651d data-v-68c00620 data-v-ae503b7b><div class="result__body" data-v-86ad651d><div class="result__header" data-v-86ad651d><div class="result__info result__info--extended" data-v-86ad651d><span aria-hidden="true" data-test-id="web-result-favicon" class="favicon__container web-result__favicon favicon__container--fallback" data-v-68c00620><!----><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="none" viewBox="0 0 16 16" class="favicon__fallback icon icon--icon-atlas icon--size-s" 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Toolformer: Language models can teach themselves to use tools. Advances in Neural Information Processing Systems, 36. Page 11. 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class="result__link result__link link link--as-a link--color-result link--variant-primary" data-v-f0114578 data-v-86ad651d><h2 data-test-id="result-title" class="result-title__heading" data-v-f0114578 data-v-86ad651d> Simon Willison on llm-tool-use </h2></a></div></div><div class="result__columns" data-v-86ad651d><div class="result__columns-start" data-v-86ad651d><div data-test-id="result-description" class="result__description" data-v-86ad651d><!----><p data-test-id="web-result-description" class="web-result__description" data-v-86ad651d data-v-68c00620> Something I've realized about LLM tool use is that it means that if you can reduce a problem to something that can be solved by an LLM in a sandbox using tools ... </p></div></div><!----></div><div class="result__extra-content" data-v-86ad651d><!----></div></div></article></div><div data-test-id="mainline-result-ad" class="mainline__result-wrapper mainline__result-wrapper--visible" data-v-ae503b7b><div id="ad-google-12" 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