Source: Import AI (Jack Clark)

The destroy() method of the LanguageModel interface releases the resources assigned to the LanguageModel instance it is called on and stops any further activity on it. Any ongoing …

Source: HackerNews front

An LLM, or large language model, is a neural network trained on vast text to predict the next token, the engine behind ChatGPT, Gemini, Claude and AI search.

An LLM, or large language model, is a neural network trained on vast text to predict the next token, the engine behind ChatGPT, Gemini, Claude and AI search.

A Flutter plugin for native speech-to-text using Android's RecognizerIntent ACTION_RECOGNIZE_SPEECH. Changelog excerpt: - Initial release of the plugin. - Speech recognition using Android's native `ACTION_RECOGNIZE_SPEECH`Intent. - Configurable parameters for `RecognizerIntent`extras: - `languageModel`(free form or web search) - `language`and `languagePreference` - `prompt`, `maxResults` - `partialResults`, `confidenceScores` - Speech silence length limits (`speechInputMinimumLengthMillis`, `speechInputCompleteSilenceLengthMillis`, `speechInputPossiblyCompleteSilenceLengthMillis`) - Availability check[...]

A model that has never seen your documents will answer questions about them anyway, confidently and wrongly. RAG fixes that by finding the right page first and handing it over with the question.

Retrieval-augmented generation (RAG) makes a language model fetch documents before it answers. How the pipeline works, where it fails and why publishers sue.

Retrieval-augmented generation (RAG) makes a language model fetch documents before it answers. How the pipeline works, where it fails and why publishers sue.

Few-shot prompting places a handful of worked examples inside the input to a language model so it infers a task without retraining. Mechanics, limits, disputes.

Few-shot prompting places a handful of worked examples inside the input to a language model so it infers a task without retraining. Mechanics, limits, disputes.

Retrieval-augmented generation (RAG) makes a language model fetch documents before it answers. How the pipeline works, where it fails and why publishers sue.

Retrieval-augmented generation (RAG) makes a language model fetch documents before it answers. How the pipeline works, where it fails and why publishers sue.

Hi ! I am trying to play and run the Windows AI Foundry Apps - but keep getting an error message: Access denied Sample code: if (LanguageModel.GetReadyState() == AIFeatureReadyState.NotReady) { var languageModelDeploymentOperation = LanguageModel.EnsureReadyAsync(); await languageModelDeploymentOperation; } LanguageModel _session = await LanguageModel.CreateAsync();

A prompt is the text and data sent to a language model to get an output. How prompts are assembled, where the term came from, and why they now carry ad budgets.

A prompt is the text and data sent to a language model to get an output. How prompts are assembled, where the term came from, and why they now carry ad budgets.

AppleのFoundation Modelsフレームワークに追加されたLanguageModelプロトコルの仕組みと、Anthropic公式ClaudeForFoundationModelsパッケージでClaude・Geminiを呼び出すSwift実装手順をコード付きで解説します。