function calling notes
Elvis Saravia
4 months ago
parent
7f7f9eaaa8
commit
c8c2d2c79a
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<svg
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<svg
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<svg viewBox="0 0 15 15" xmlns="http://www.w3.org/2000/svg">
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<path
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fill="currentColor"
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fill-rule="evenodd"
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clip-rule="evenodd"
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/>
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</svg>
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After Width: | Height: | Size: 902 B |
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export { default as FilesIcon } from './files.svg'
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export { default as MarkdownIcon } from './markdown.svg'
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export { default as TailwindIcon } from './tailwind.svg'
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export { default as LinkIcon } from './link.svg'
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export { default as LightningIcon } from './lightning.svg'
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export { default as GlobeIcon } from './globe.svg'
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export { default as PictureIcon } from './picture.svg'
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export { default as CodeIcon } from './code.svg'
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export { default as BrushIcon } from './brush.svg'
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export { default as DropperIcon } from './dropper.svg'
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export { default as StarsIcon } from './stars.svg'
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export { default as FormulaIcon } from './formula.svg'
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export { default as WarningIcon } from './warning.svg'
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export { default as ChevronRightIcon } from './chevron-right.svg'
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export { default as BoxIcon } from './box.svg'
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export { default as GearIcon } from './gear.svg'
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export { default as RowsIcon } from './rows.svg'
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export { default as CardsIcon } from './cards.svg'
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export { default as OneIcon } from './one.svg'
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export { default as CloudIcon } from './cloud.svg'
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export { default as TableIcon } from './table.svg'
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export { default as FileIcon } from './file.svg'
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export { default as NewsletterIcon } from './newsletter.svg'
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export { default as ArrowRightIcon } from './arrow-right.svg'
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export { default as SwitchIcon } from './switch.svg'
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export { default as TerminalIcon } from './terminal.svg'
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export { default as DiagramIcon } from './diagram.svg'
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export { default as FolderTreeIcon } from './folder-tree.svg'
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export { default as IdCardIcon } from './id-card.svg'
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor">
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<path
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fill-rule="evenodd"
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d="M14.615 1.595a.75.75 0 01.359.852L12.982 9.75h7.268a.75.75 0 01.548 1.262l-10.5 11.25a.75.75 0 01-1.272-.71l1.992-7.302H3.75a.75.75 0 01-.548-1.262l10.5-11.25a.75.75 0 01.913-.143z"
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clip-rule="evenodd"
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/>
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</svg>
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<svg
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xmlns="http://www.w3.org/2000/svg"
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fill="none"
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viewBox="0 0 24 24"
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stroke-width="1.5"
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stroke="currentColor"
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>
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<path
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stroke-linecap="round"
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stroke-linejoin="round"
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/>
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</svg>
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24">
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<path
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fill="currentColor"
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xmlns="http://www.w3.org/2000/svg"
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viewBox="0 0 24 24"
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stroke-linecap="round"
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width="192"
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<svg
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xmlns="http://www.w3.org/2000/svg"
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fill="none"
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viewBox="0 0 24 24"
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stroke-width="1.5"
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stroke="currentColor"
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>
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stroke-linecap="round"
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stroke-linejoin="round"
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d="M12 9v3.75m-9.303 3.376c-.866 1.5.217 3.374 1.948 3.374h14.71c1.73 0 2.813-1.874 1.948-3.374L13.949 3.378c-.866-1.5-3.032-1.5-3.898 0L2.697 16.126zM12 15.75h.007v.008H12v-.008z"
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After Width: | Height: | Size: 385 B |
File diff suppressed because it is too large
Load Diff
@ -1,5 +1,46 @@
|
||||
# Prompting Applications
|
||||
# LLM Applications
|
||||
|
||||
import { Callout } from 'nextra-theme-docs'
|
||||
|
||||
In this section, we will cover advanced and interesting ways we can use prompt engineering to perform useful and more advanced tasks with large language models (LLMs).
|
||||
import {Cards, Card} from 'nextra-theme-docs'
|
||||
import {FilesIcon} from 'components/icons'
|
||||
|
||||
In this section, we will cover advanced and interesting ways we can use prompt engineering to perform useful and more advanced tasks with large language models (LLMs).
|
||||
|
||||
<Cards>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Function Calling"
|
||||
href="/applications/function_calling"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Generating Data"
|
||||
href="/applications/generating"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Generating Synthetic Dataset for RAG"
|
||||
href="/applications/synthetic_rag"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Tackling Generated Datasets Diversity"
|
||||
href="/applications/generating_textbooks"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Generating Code"
|
||||
href="/applications/coding"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Graduate Job Classification"
|
||||
href="/applications/workplace_casestudy"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Prompt Function"
|
||||
href="/applications/pf"
|
||||
/>
|
||||
</Cards>
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -0,0 +1,3 @@
|
||||
# Function Calling with LLMs
|
||||
|
||||
This page needs a translation! Feel free to contribute a translation by clicking the `Edit this page` button on the right.
|
||||
@ -1,9 +1,41 @@
|
||||
# Introduction
|
||||
|
||||
import {Cards, Card} from 'nextra-theme-docs'
|
||||
import { CardsIcon, OneIcon, WarningIcon, FilesIcon} from 'components/icons'
|
||||
|
||||
Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently apply and build with large language models (LLMs) for a wide variety of applications and use cases.
|
||||
|
||||
Prompt engineering skills help to better understand the capabilities and limitations of LLMs. Researchers use prompt engineering to improve safety and the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools.
|
||||
|
||||
This comprehensive guide covers the theory and practical aspects of prompt engineering and how to leverage the best prompting techniques to interact and build with LLMs.
|
||||
|
||||
All examples are tested with `gpt-3.5-turbo` using the [OpenAI's Playground](https://platform.openai.com/playground) unless otherwise specified. The model uses the default configurations, i.e., `temperature=1` and `top_p=1`. The prompts should also work with other models that have similar capabilities as `gpt-3.5-turbo` but the model responses may vary.
|
||||
All examples are tested with `gpt-3.5-turbo` using the [OpenAI's Playground](https://platform.openai.com/playground) unless otherwise specified. The model uses the default configurations, i.e., `temperature=1` and `top_p=1`. The prompts should also work with other models that have similar capabilities as `gpt-3.5-turbo` but the model responses may vary.
|
||||
|
||||
|
||||
<Cards>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="LLM Settings"
|
||||
href="/introduction/settings"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Basics of Prompting"
|
||||
href="/introduction/basics"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Prompt Elements"
|
||||
href="/introduction/elements"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="General Tips for Designing Prompts"
|
||||
href="/introduction/tips"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Examples of Prompts"
|
||||
href="/introduction/examples"
|
||||
/>
|
||||
</Cards>
|
||||
@ -1,9 +1,46 @@
|
||||
# Models
|
||||
|
||||
import { Callout } from 'nextra-theme-docs'
|
||||
import {Cards, Card} from 'nextra-theme-docs'
|
||||
import {FilesIcon} from 'components/icons'
|
||||
|
||||
In this section, we will cover some of the recent language models and how they successfully apply the latest and most advanced prompting engineering techniques. In addition, we cover capabilities of these models on a range of tasks and prompting setups like few-shot prompting, zero-shot prompting, and chain-of-thought prompting. Understanding these capabilities are important to understand the limitations of these models and how to use them effectively.
|
||||
|
||||
<Callout emoji="⚠️">
|
||||
This section is under heavy development.
|
||||
</Callout>
|
||||
|
||||
<Cards>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Flan"
|
||||
href="/models/flan"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="ChatGPT"
|
||||
href="/models/chatgpt"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Llama"
|
||||
href="/models/llama"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="GPT-4"
|
||||
href="/models/gpt-4"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Mistral 7B"
|
||||
href="/models/mistral-7b"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Gemini"
|
||||
href="/models/gemini"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="LLM Collection"
|
||||
href="/models/collection"
|
||||
/>
|
||||
</Cards>
|
||||
@ -1,5 +1,86 @@
|
||||
# Prompting Techniques
|
||||
|
||||
By this point, it should be obvious that it helps to improve prompts to get better results on different tasks. That's the whole idea behind prompt engineering.
|
||||
import {Cards, Card} from 'nextra-theme-docs'
|
||||
import { CardsIcon, OneIcon, WarningIcon, FilesIcon} from 'components/icons'
|
||||
|
||||
While the basic examples were fun, in this section we cover more advanced prompting engineering techniques that allow us to achieve more complex and interesting tasks.
|
||||
Prompt Engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.
|
||||
|
||||
While the previous basic examples were fun, in this section we cover more advanced prompting engineering techniques that allow us to achieve more complex tasks and improve reliability and performance of LLMs.
|
||||
|
||||
<Cards>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Zero-Shot Prompting"
|
||||
href="/techniques/zeroshot"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Few-Shot Prompting"
|
||||
href="/techniques/fewshot"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Chain-of-Thought Prompting"
|
||||
href="/techniques/cot"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Self-Consistency"
|
||||
href="/techniques/consistency"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="General Knowledge Prompting"
|
||||
href="/techniques/knowledge"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Tree of Thoughts Prompting"
|
||||
href="/techniques/tot"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Retrieval Augmented Generation"
|
||||
href="/techniques/rag"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Automatic Reasoning and Tool-Use"
|
||||
href="/techniques/art"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Automatic Prompt Engineer"
|
||||
href="/techniques/ape"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Active-Prompt"
|
||||
href="/techniques/activeprompt"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Direct Stimulus Prompting"
|
||||
href="/techniques/dsp"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Program-Aided Language"
|
||||
href="/techniques/pal"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="ReAct"
|
||||
href="/techniques/react"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Multimodal CoT"
|
||||
href="/techniques/multimodalcot"
|
||||
/>
|
||||
<Card
|
||||
icon={<FilesIcon />}
|
||||
title="Graph Prompting"
|
||||
href="/techniques/graph"
|
||||
/>
|
||||
</Cards>
|
||||
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Reference in New Issue