#textembeddings search results
Introducing Gecko, a novel, compact, and versatile text embedding model distilled from the intelligence of LLMs. #Textembeddings #LLMs #RetrievalPerformance
Transform Documents into Vectors Using Amazon Titan Text Embeddings #AmazonTitan #TextEmbeddings #DataScience #VectorStorage #MachineLearning #DocumentProcessing #TechTutorial #DataAnalytics #AIModels #VectorTransformation
Presenting an analysis of subreddit community structure and its evolution over time in: “#Textembeddings and clustering for characterizing #onlinecommunities on #Reddit“ by Jan Sawicki. ACSIS Vol. 35 p.1131–1136; tinyurl.com/yb2322ba
Read the whole "Non-contrastive sentence representations via self-supervision" paper at bloom.bg/3RsqXwH #NAACL2024 #TextEmbeddings
In "Non-contrastive sentence representations via self-supervision," Duccio Pappadopulo & Marco Farina examine the efficacy of dimension contrastive methods to learn #TextEmbeddings, techniques used in #computervision, yet unstudied in #NLProc bloom.bg/3VKKhrQ #NAACL2024
I'm excited to announce that #PoliTics, the PhD student and PostDoc peer group of the @IPZuser, invites @COSS_eth's Thomas Asikis to teach a workshop on #RepresentationLearning and #TextEmbeddings on 19 and 20 April 2019, 5-8:30pm! 📊💫 Shoot me a message/email to register 📩
Vector Databases Explained | When to use? youtu.be/VxcLX3Hx8E4 #VectorDatabase #TextEmbeddings #VectorEmbeddings #RAGArchitecture #AIArchitecture
I just deployed my function in @supabase to generate text embeddings seamlessly! 🚀✨ Excited to explore new possibilities with this integration and level up my #AI projects. #Supabase #TextEmbeddings #ML #DevLife
Appreciate your clear, concise explanation of text embeddings! It’s fundamental knowledge for anyone working with large language models.#AI #MachineLearning #TextEmbeddings
context windows of around 512 tokens and the quality didn't rival the bigger models you could use through openAl or google. #Qwen3Embedding #Qwen3 #TextEmbeddings #SemanticSearch #MTEB #OpenSourceAI #MultilingualAI #Embeddings #Reranking
📈 With standardized benchmarks like MS MARCO and BIER, tracking the performance of text embedding models has become easier. These benchmarks have fueled significant advancements, driving competition and innovation. #Benchmarking #TextEmbeddings
🎉 That's a wrap on our journey through the world of text embeddings! From understanding their importance to unraveling the secrets of top-ranking models, we hope this thread has shed light on the power of AI in information retrieval. #TextEmbeddings #ai-pr-marketing
4/5 Text Embedding Models: This is where unstructured text becomes a list of floating-point numbers. It's powerful because it allows semantic search, finding similar text in the vector space. LangChain's Embeddings class standardizes this process, making it easy. #TextEmbeddings
Dive into the magic of #TextEmbeddings with cosine similarity & high dimensionality! Cosine similarity reveals the deep connections between vectors in LLMs, while high dimensions ensure nuanced language representation. It's how we achieve precise semantic search and understanding
Why cosine-similarity and implications of high dimensionality are so important for text embeddings in LLM ? 💡 📌 Cosine similarity measures the cosine of the angle between two vectors, giving us a value between -1 and 1. For unit vectors (vectors normalized to have a magnitude…
🤔 Exploring new horizons! Can we create text embeddings for conversational threads without flattening the hierarchy? 💬 Please share your insights! #TextEmbeddings #Conversations #AIChat
🔎 An insightful exploration of text embeddings from Mariya Mansurova. #TextEmbeddings #GenAI
Read this story from Mariya Mansurova on Medium: towardsdatascience.com/text-embedding…
A Comparative Study of Jina Embeddings vs. Llama Model for Computing Textual Semantic Similarity Read More- bit.ly/49CJ7SJ #TextEmbeddings #SemanticSimilarity #AIforTextAnalysis #MachineLearning #DeepLearning #TextUnderstanding
Text embedding models for AI can make surprising errors. They often confuse opposites, ignore crucial details, and misinterpret numbers. Is your NLP system flawed? #TextEmbeddings #AI #Failures iotforall.com/ai-text-embedd…
iotforall.com
How AI Text Embedding Models Misunderstand Language | IoT For All
Embedding models confuse opposites as similar, failing on negation and numbers, and real-world disasters despite impressive benchmarks.
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Related Work | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
“You shall know a word by the company it keeps” — J.R. Firth #TextEmbeddings #NLP #MachineLearning
context windows of around 512 tokens and the quality didn't rival the bigger models you could use through openAl or google. #Qwen3Embedding #Qwen3 #TextEmbeddings #SemanticSearch #MTEB #OpenSourceAI #MultilingualAI #Embeddings #Reranking
Text embedding models for AI can make surprising errors. They often confuse opposites, ignore crucial details, and misinterpret numbers. Is your NLP system flawed? #TextEmbeddings #AI #Failures iotforall.com/ai-text-embedd…
iotforall.com
How AI Text Embedding Models Misunderstand Language | IoT For All
Embedding models confuse opposites as similar, failing on negation and numbers, and real-world disasters despite impressive benchmarks.
Transform Documents into Vectors Using Amazon Titan Text Embeddings #AmazonTitan #TextEmbeddings #DataScience #VectorStorage #MachineLearning #DocumentProcessing #TechTutorial #DataAnalytics #AIModels #VectorTransformation
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Training | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
The Best Way to Use Text Embeddings Portably is With Parquet and Polars minimaxir.com/2025/02/embedd… #TextEmbeddings (Read this, it includes @wizards_magic stuff...)
Presenting an analysis of subreddit community structure and its evolution over time in: “#Textembeddings and clustering for characterizing #onlinecommunities on #Reddit“ by Jan Sawicki. ACSIS Vol. 35 p.1131–1136; tinyurl.com/yb2322ba
I just deployed my function in @supabase to generate text embeddings seamlessly! 🚀✨ Excited to explore new possibilities with this integration and level up my #AI projects. #Supabase #TextEmbeddings #ML #DevLife
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Instructions for Training and Evaluation |...
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Prompts for Synthetic Data Generation |...
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Implementation Details | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Conclusion and References | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Multilingual Retrieval | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Main Results | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Model Fine-tuning and Evaluation | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Statistics of the Synthetic Data | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Synthetic Data Generation | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training - hackernoon.com/improving-text… #multilingualai #textembeddings
hackernoon.com
Improving Text Embeddings with Large Language Models: Related Work | HackerNoon
This paper introduces a novel method for generating high-quality text embeddings using synthetic data, achieving state-of-the-art results with minimal training
Introducing Gecko, a novel, compact, and versatile text embedding model distilled from the intelligence of LLMs. #Textembeddings #LLMs #RetrievalPerformance
Read the whole "Non-contrastive sentence representations via self-supervision" paper at bloom.bg/3RsqXwH #NAACL2024 #TextEmbeddings
In "Non-contrastive sentence representations via self-supervision," Duccio Pappadopulo & Marco Farina examine the efficacy of dimension contrastive methods to learn #TextEmbeddings, techniques used in #computervision, yet unstudied in #NLProc bloom.bg/3VKKhrQ #NAACL2024
Presenting an analysis of subreddit community structure and its evolution over time in: “#Textembeddings and clustering for characterizing #onlinecommunities on #Reddit“ by Jan Sawicki. ACSIS Vol. 35 p.1131–1136; tinyurl.com/yb2322ba
Vector Databases Explained | When to use? youtu.be/VxcLX3Hx8E4 #VectorDatabase #TextEmbeddings #VectorEmbeddings #RAGArchitecture #AIArchitecture
I'm excited to announce that #PoliTics, the PhD student and PostDoc peer group of the @IPZuser, invites @COSS_eth's Thomas Asikis to teach a workshop on #RepresentationLearning and #TextEmbeddings on 19 and 20 April 2019, 5-8:30pm! 📊💫 Shoot me a message/email to register 📩
Something went wrong.
Something went wrong.
United States Trends
- 1. #FanCashDropPromotion 2,548 posts
- 2. hayley 13.9K posts
- 3. Wale 41K posts
- 4. Summer Walker 29.7K posts
- 5. #FridayVibes 5,996 posts
- 6. Good Friday 64.4K posts
- 7. Rondo 2,085 posts
- 8. Reid Hoffman 19.1K posts
- 9. Bubba 14.1K posts
- 10. #FursuitFriday 12.6K posts
- 11. Bill Clinton 74.3K posts
- 12. #FinallyOverIt 9,961 posts
- 13. Saylor 51.2K posts
- 14. #FridayFeeling 2,830 posts
- 15. Go Girl 26.7K posts
- 16. Ticketmaster 7,878 posts
- 17. SINGSA LATAI EP3 135K posts
- 18. Hunter Biden 10.4K posts
- 19. Thomas Crooks 47.1K posts
- 20. Happy Friyay 1,876 posts