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Scott Martens - Elasticsearch Labs
jina-embeddings-v5-text: Compact state-of-the-art text embeddings for...jina-embeddings-v5-text models, including jina-embeddings-v5-text-small and...www.elastic.co/search-labs/author/scott-martens -
Evaluating generic phrases using Granite models
print the response text. print (response[ 'text' ]) Copy code Output:...import pipeline pipe = pipeline( "text-generation" , model =model,...developer.ibm.com/articles/generics-granite/ -
Build a voice-enabled watsonx Orchestrate agent...
power of Watson Speech to Text and Text to Speech services. In this...integrating Watson Speech to Text and Text to Speech services, and...developer.ibm.com/tutorials/build-voice-agent-watsonx-orchestrate/ -
2.3. Clustering — scikit-learn 1.8.0 documentation
\[\text{ARI} = \frac{\text{RI} - E[\text{RI}]}{\max(\text{RI})...index: \[\text{AMI} = \frac{\text{MI} - E[\text{MI}]}{\text{mean}(H(U),...scikit-learn.org/stable/modules/clustering.html -
3.4. Metrics and scoring: quantifying the quali...
(pre-test and post-tests): \[\text{post-test odds} = \text{Likelihood...recall: \[\text{precision} = \frac{\text{tp}}{\text{tp} + \text{fp}},\]...scikit-learn.org/stable/modules/model_evaluation.html -
API Chat
const text = decoder . decode ( value ); const lines = text . split...un serveur de recherche full-text. Ses principales caracteristiques...fess.codelibs.org/fr/15.5/api/api-chat.html -
Field data types | Elasticsearch Reference
Text search types text fields The text family, including...Analyzed, unstructured text. annotated-text Text containing special markup....www.elastic.co/docs/reference/elasticsearch/mapping-reference/field-data-types -
What is conversational AI? | A Comprehensive Co...
receive speech or text inputs and produce speech or text outputs to...assistants, text-to-speech (TTS), and speech-to-text (STT) technologies....www.elastic.co/what-is/conversational-ai -
CountVectorizer — scikit-learn 1.8.0 documentation
on a Text Dataset Semi-supervised Classification on a Text Dataset...class sklearn.feature_extraction.text. CountVectorizer ( * , input='content'...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
sg_gallery-rendered-html.css
var(--sg-text-color); background-color: var(--sg-text-color);...html[data-theme="light"] { --sg-text-color: #000; --sg-background-color:...scikit-learn.org/stable/_static/sg_gallery-rendered-html.css