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Tutti / Llm: agents ai act aliases alternative blog caffe20 california chatgpt chunk chunking cina civilenews colleciont copyright declarative memory democrazia digitale documentation documents embeddings english episodic memory example exchange memories giustizia guide hooks howto install intelligenza artificiale intro iod langchain llm local locale long term memory minerva mistral nlp ollama openstreetmap paper plugin pomaro privacy procedural memory qdrant qwen rag reranker reranking settings sistema giudiziario summaries thecat third parties token tools training tutorial vector memory vischer weather white_cat
Tutti / Llm: agents ai act aliases alternative blog caffe20 california chatgpt chunk chunking cina civilenews colleciont copyright declarative memory democrazia digitale documentation documents embeddings english episodic memory example exchange memories giustizia guide hooks howto install intelligenza artificiale intro iod langchain llm local locale long term memory minerva mistral nlp ollama openstreetmap paper plugin pomaro privacy procedural memory qdrant qwen rag reranker reranking settings sistema giudiziario summaries thecat third parties token tools training tutorial vector memory vischer weather white_cat
· 2024-09-05 09:56:41
(Part 2) Build a Conversational RAG with Mistral 7B and LangChain | by Madhav Thaker | Medium
estimated reading time: 13 min DALL-E generated image of a young man having a conversation with a fantasy football assistantBefore diving into the advanced aspects of building Retrieval-Augmented Generation (RAG) applications with LangChain, it is crucial to first explore the foundation
estimated reading time: 13 min DALL-E generated image of a young man having a conversation with a fantasy football assistantBefore diving into the advanced aspects of building Retrieval-Augmented Generation (RAG) applications with LangChain, it is crucial to first explore the foundation
· 2024-09-05 09:54:25
Build a Medical Q&A system using LangChain and Mistral 7B | by Mehdi Iraqi | Medium
estimated reading time: 10 min In this blog post, we explore two cutting-edge approaches to answering medical questions: using a Large Language Model (llm) alone and enhancing it with Retrieval-Augmented Generation (RAG).We have selected Mistral 7B, an ope
estimated reading time: 10 min In this blog post, we explore two cutting-edge approaches to answering medical questions: using a Large Language Model (llm) alone and enhancing it with Retrieval-Augmented Generation (RAG).We have selected Mistral 7B, an ope
· 2024-09-05 09:32:03
A Hands on Guide to Enhance RAG with Re Ranking
estimated reading time: 6 min Retrieval-Augmented Generation (RAG) is useful for summarising and answering questions. It blends the skills of Large Language Models (llms) with information retrieval capabilities. However, the first retrieval step of the RAG
estimated reading time: 6 min Retrieval-Augmented Generation (RAG) is useful for summarising and answering questions. It blends the skills of Large Language Models (llms) with information retrieval capabilities. However, the first retrieval step of the RAG
· 2024-09-05 09:27:42
RAG Strategies Hierarchical Index Retrieval | PIXION Blog
estimated reading time: 12 min The problem of scalability In the current modern world, data comes in massive volumes. Organizing and retrieving this data is challenging, especially when accuracy and scalability are at stake. Simple index retrieval strategies serve the purpose initially,
estimated reading time: 12 min The problem of scalability In the current modern world, data comes in massive volumes. Organizing and retrieving this data is challenging, especially when accuracy and scalability are at stake. Simple index retrieval strategies serve the purpose initially,
· 2024-09-05 09:16:29
Mastering RAG: How to Select A Reranking Model Galileo
estimated reading time: 17 min Optimizing retrieval results in a RAG system requires various modules to work together in unison. A crucial component of this process is the reranker, a module that improves the order of documents within the retrieved set to prioritize the most relevant it
estimated reading time: 17 min Optimizing retrieval results in a RAG system requires various modules to work together in unison. A crucial component of this process is the reranker, a module that improves the order of documents within the retrieved set to prioritize the most relevant it
· 2024-08-30 18:03:50
California's controversial AI bill is on the verge of becoming law
estimated reading time: 11 min AI California’s SB-1047 is on a path to the governor’s desk. Will it kill the AI boom? Casey NewtonAug 15, 2024 — 9 min read The California State Capitol (Wikipedia) Great! Check your inbox and click the link. Sorry, something went wrong. Please t
estimated reading time: 11 min AI California’s SB-1047 is on a path to the governor’s desk. Will it kill the AI boom? Casey NewtonAug 15, 2024 — 9 min read The California State Capitol (Wikipedia) Great! Check your inbox and click the link. Sorry, something went wrong. Please t
· 2024-08-29 06:53:38
Stuart 🛎
estimated reading time: < 1 min / stuart-chatbot PublicNotifications You must be signed in to change notification settings Fork 2 Star 4 Stuart is the Open Data Hub llm based chatbot. Stuart helps the Open Data Hub customer care team in solving the
estimated reading time: < 1 min / stuart-chatbot PublicNotifications You must be signed in to change notification settings Fork 2 Star 4 Stuart is the Open Data Hub llm based chatbot. Stuart helps the Open Data Hub customer care team in solving the
· 2024-08-27 15:14:38
L'addestramento dell'AI è sotto esame da parte delle autorità privacy europee
estimated reading time: 3 min Italian Privacy & Cybersecurity Think TankItalian Privacy & Cybersecurity Think TankItalian Privacy Think Tank è una community di esperti di privacy, data protection e cybersecurityPublished Aug 27, 2024+ FollowLa sospensione da parte di X del tra
estimated reading time: 3 min Italian Privacy & Cybersecurity Think TankItalian Privacy & Cybersecurity Think TankItalian Privacy Think Tank è una community di esperti di privacy, data protection e cybersecurityPublished Aug 27, 2024+ FollowLa sospensione da parte di X del tra
· 2024-08-21 10:14:54
ChatGPT in Colombian Courts: Why we need to have a conversation about the digital literacy of the judiciary
estimated reading time: 10 min Why we need to have a conversation about the digital literacy of the judiciaryOn January 31st 2023, judge Juan Manuel Padilla issued a 7-page ruling on a case in which the fundamental right to health of a child, diagnosed as being on the autism spectrum,
estimated reading time: 10 min Why we need to have a conversation about the digital literacy of the judiciaryOn January 31st 2023, judge Juan Manuel Padilla issued a 7-page ruling on a case in which the fundamental right to health of a child, diagnosed as being on the autism spectrum,
· 2024-08-19 20:10:53
Cheshire Web Resources Community Search Engine
estimated reading time: 1 min Cheshire Web Resources Community Search Engine ☰ unofficial free search engine for resources on Cheshire AI or start from: rss feed for: Cat's news · The 436 links hereread the: Docs · Blog · Discord · GitHub Let's Meow ... tags: Title:Gra
estimated reading time: 1 min Cheshire Web Resources Community Search Engine ☰ unofficial free search engine for resources on Cheshire AI or start from: rss feed for: Cat's news · The 436 links hereread the: Docs · Blog · Discord · GitHub Let's Meow ... tags: Title:Gra
· 2024-08-14 01:16:32
Anthropic: il diritto d'autore frena lo sviluppo di strumenti di GenAI AI4Business
estimated reading time: 2 min L’utilizzo di contenuti protetti da copyright nei dati di addestramento dei grandi modelli linguistici (llm) rientra nel “fair use”. Lo ha sostenuto la società di intelligenza artificiale generativa (GenAI) Anthropic da
estimated reading time: 2 min L’utilizzo di contenuti protetti da copyright nei dati di addestramento dei grandi modelli linguistici (llm) rientra nel “fair use”. Lo ha sostenuto la società di intelligenza artificiale generativa (GenAI) Anthropic da
· 2024-07-31 10:42:41
Nlmatics/llmsherpa: Developer APIs to Accelerate llm Projects
estimated reading time: < 1 min This will remove {{ repoNameWithOwner }} from the {{ listsWithCount }} that it's been added to.
estimated reading time: < 1 min This will remove {{ repoNameWithOwner }} from the {{ listsWithCount }} that it's been added to.
· 2024-07-31 10:41:33
Mastering PDFs: Extracting Sections, Headings, Paragraphs, and Tables with Cutting Edge Parser — LlamaIndex, Data Framework for llm Applications
estimated reading time: 5 min Despite recent motivation to utilize NLP for wider range of real world applications, most NLP papers, tasks and pipelines assume raw, clean texts. However, many texts we encounter in the wild, including a vast majority of legal documents (e.g., contracts an
estimated reading time: 5 min Despite recent motivation to utilize NLP for wider range of real world applications, most NLP papers, tasks and pipelines assume raw, clean texts. However, many texts we encounter in the wild, including a vast majority of legal documents (e.g., contracts an
· 2024-07-29 13:09:11
Qwen2 a Qwen Collection
estimated reading time: < 1 min Qwen's Collectionsupdated Jun 6Qwen2 language models, including pretrained and instruction-tuned models of 5 sizes, including 0.5B, 1.5B, 7B, 57B-A14B, and 72B. Running💻Qwen2 72B Instruct Qwen/Qwen2-72B-Instruct Qwen/Qwen2-72B Qwen/Qwen2-7B-Ins
estimated reading time: < 1 min Qwen's Collectionsupdated Jun 6Qwen2 language models, including pretrained and instruction-tuned models of 5 sizes, including 0.5B, 1.5B, 7B, 57B-A14B, and 72B. Running💻Qwen2 72B Instruct Qwen/Qwen2-72B-Instruct Qwen/Qwen2-72B Qwen/Qwen2-7B-Ins
· 2024-07-20 16:06:40
Together Mixture Of Agents (MoA)
estimated reading time: 5 min Learn how to use Together MoA in 50 lines of code!Suggest Edits Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple llms to enhance performance, achieving state-of-the-art results. B
estimated reading time: 5 min Learn how to use Together MoA in 50 lines of code!Suggest Edits Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple llms to enhance performance, achieving state-of-the-art results. B
· 2024-07-20 09:40:37
Basic RAG | Mistral AI Large Language Models
estimated reading time: 12 min Retrieval-augmented generation (RAG) is an AI framework that synergizes the capabilities of llms and information retrieval systems. It's useful to answer questions or generate content leveraging external knowledge. There are
estimated reading time: 12 min Retrieval-augmented generation (RAG) is an AI framework that synergizes the capabilities of llms and information retrieval systems. It's useful to answer questions or generate content leveraging external knowledge. There are
· 2024-07-16 13:43:17
Flowise Low code llm Apps Builder
estimated reading time: 220 min FeaturesUse CasesCommunityWebinarsDocsLoginRequest AccessMenuFeaturesUse CasesCommunityWebinarsDocsLoginRequest AccessBuild llm AppsEasilyOpen source low-code tool for developers to build customized l
estimated reading time: 220 min FeaturesUse CasesCommunityWebinarsDocsLoginRequest AccessMenuFeaturesUse CasesCommunityWebinarsDocsLoginRequest AccessBuild llm AppsEasilyOpen source low-code tool for developers to build customized l
· 2024-07-16 13:03:15
Spaces Hugging Face
estimated reading time: < 1 min Discover amazing AI apps made by the community!or Learn more about SpacesBrowse ZeroGPU Spaces Full-text searchSpaces of the week 🔥Running on A10G💬Flash VStream DemoRunning♾️Math Olympiad SolverRunning on Zero🖼Auraflow DemoRunning on Zer
estimated reading time: < 1 min Discover amazing AI apps made by the community!or Learn more about SpacesBrowse ZeroGPU Spaces Full-text searchSpaces of the week 🔥Running on A10G💬Flash VStream DemoRunning♾️Math Olympiad SolverRunning on Zero🖼Auraflow DemoRunning on Zer
· 2024-07-16 13:02:44
Inferkit AI: Cheaper & Faster llm router
estimated reading time: < 1 min You need to enable JavaScript to run this app.InferkitPlaygroundHomeTutorialPriceKeyLogLogin Copyright © Inferkit AI Other ToolsPrivacyTerms
estimated reading time: < 1 min You need to enable JavaScript to run this app.InferkitPlaygroundHomeTutorialPriceKeyLogLogin Copyright © Inferkit AI Other ToolsPrivacyTerms
· 2024-07-16 12:52:39
H2O.ai | Convergence of The World's Best Predictive & Generative AI
estimated reading time: 3 min #1 Foundation Model on Hugging Face Open llm Leaderboard for the <2B RangeH2O.ai just released its latest open-weight small language model, H2O-Danube2-1.8B, under Apache v2.0.Designed to fine-tune or post-train on domain-s
estimated reading time: 3 min #1 Foundation Model on Hugging Face Open llm Leaderboard for the <2B RangeH2O.ai just released its latest open-weight small language model, H2O-Danube2-1.8B, under Apache v2.0.Designed to fine-tune or post-train on domain-s
· 2024-07-15 23:33:36
Together Mixture Of Agents (MoA)
estimated reading time: 3 min Together Mixture-Of-Agents (MoA)Learn how to use Together MoA in 50 lines of code!Suggest Edits Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple llms to enhance performance, achie
estimated reading time: 3 min Together Mixture-Of-Agents (MoA)Learn how to use Together MoA in 50 lines of code!Suggest Edits Mixture of Agents (MoA) is a novel approach that leverages the collective strengths of multiple llms to enhance performance, achie
· 2024-07-05 09:40:47
Part 17: What is inside an AI model and how it works VISCHER
estimated reading time: 43 min 7 May 2024If we want to apply the current rule of law to artificial intelligence, especially in the field of generative AI, then we need to understand what the AI models, which are the heart of an AI system, are all about. This understanding is crucial, fo
estimated reading time: 43 min 7 May 2024If we want to apply the current rule of law to artificial intelligence, especially in the field of generative AI, then we need to understand what the AI models, which are the heart of an AI system, are all about. This understanding is crucial, fo
· 2024-07-05 09:27:30
La democrazia resisterà al potere dell'intelligenza artificiale?
estimated reading time: 4 min Durante la Seconda guerra mondiale, per scopi bellici, furono sviluppati i primi computer: Colossus, creato a Bletchley Park nel Regno Unito e, negli Usa, l’Atanasoff-Berry Computer e l’Eniac. Nell’immediato dopoguerra a partire dagli anni ’50, l’
estimated reading time: 4 min Durante la Seconda guerra mondiale, per scopi bellici, furono sviluppati i primi computer: Colossus, creato a Bletchley Park nel Regno Unito e, negli Usa, l’Atanasoff-Berry Computer e l’Eniac. Nell’immediato dopoguerra a partire dagli anni ’50, l’
documentation tools tutorial plugin blog howto openstreetmap settings weather example intro hooks intelligenza artificiale thecat white_cat
· 2024-07-04 06:56:19
Build your first plugin: a weather plugin Cheshire Cat AIestimated reading time: 13 min The objective of this article is to provide you a complete beginner guide to plugin development for the Cheshire Cat AI framework! We’ll start from the basis and then we’ll add up features until we reach a complete plugin which uses most of the feature
· 2024-06-30 14:25:51
FOCUS ON | Minerva, l'Intelligenza Artificiale Italiana che sfida ChatGPT in Intelligenza Artificiale Spiegata Semplice episode podcast player
estimated reading time: < 1 min podcast:Giacinto Fiore e Pasquale ViscantiIntelligenza Artificiale Spiegata Semplice è il podcast che ti offre un approccio chiaro e accessibile a questa nuova tecnologia.Ogni lunedì, Pasquale Viscanti e Giacinto Fiore ti guideranno alla scoperta di
estimated reading time: < 1 min podcast:Giacinto Fiore e Pasquale ViscantiIntelligenza Artificiale Spiegata Semplice è il podcast che ti offre un approccio chiaro e accessibile a questa nuova tecnologia.Ogni lunedì, Pasquale Viscanti e Giacinto Fiore ti guideranno alla scoperta di
· 2024-06-28 16:20:04
Getting started Cheshire Cat AI
estimated reading time: 1 min To run the Cheshire Cat, you need to have docker (instructions) and docker-compose (instructions) installed on your system.Create and API key on the language model provider website Start the app with docker-compose up inside the repository Open the app in y
estimated reading time: 1 min To run the Cheshire Cat, you need to have docker (instructions) and docker-compose (instructions) installed on your system.Create and API key on the language model provider website Start the app with docker-compose up inside the repository Open the app in y
· 2024-06-28 16:14:32
How to Run a Local Model with Ollama Cheshire Cat AI
estimated reading time: 3 min Easy-to-use setup to extend the Cheshire Cat Docker configuration and run a local model with Ollama. If you’re interested in having the Cheshire Cat running a local Large Language Model (llm), there are a handful of method
estimated reading time: 3 min Easy-to-use setup to extend the Cheshire Cat Docker configuration and run a local model with Ollama. If you’re interested in having the Cheshire Cat running a local Large Language Model (llm), there are a handful of method
blog aliases intelligenza artificiale thecat qdrant episodic memory vector memory declarative memory exchange memories long term memory procedural memory colleciont
· 2024-06-28 16:13:06
The Drunken Cat Effect Cheshire Cat AIestimated reading time: 4 min In the first article about Vector Memory, we talked about: an introduction to Vector Memory and how it works; we took a look inside the memory, thanks to the Memory tab in the admin; we saw how to save and exchange memories. Today, we are going to focus on
· 2024-06-11 17:49:56
Open Source Evaluation & Testing for llms and ML models
docs.giskard.ai
estimated reading time: < 1 min wallabag can't retrieve contents for this article. Please troubleshoot this issue.
estimated reading time: < 1 min wallabag can't retrieve contents for this article. Please troubleshoot this issue.
· 2024-06-10 10:24:10
Generative AI: novità e riflessioni #3 / 2024
estimated reading time: 29 min AI Un appuntamento per aggiornarsi e riflettere sulle tematiche che riguardano l'intelligenza artificiale e la Generative AI. • 36 min read Generative AI: novità e riflessioni - #3 / 2024Una rubrica che racconta le novità più rilevanti che riguardan
estimated reading time: 29 min AI Un appuntamento per aggiornarsi e riflettere sulle tematiche che riguardano l'intelligenza artificiale e la Generative AI. • 36 min read Generative AI: novità e riflessioni - #3 / 2024Una rubrica che racconta le novità più rilevanti che riguardan
Stiamo parlando di:
Tutti / Llm: agents ai act aliases alternative blog caffe20 california chatgpt chunk chunking cina civilenews colleciont copyright declarative memory democrazia digitale documentation documents embeddings english episodic memory example exchange memories giustizia guide hooks howto install intelligenza artificiale intro iod langchain llm local locale long term memory minerva mistral nlp ollama openstreetmap paper plugin pomaro privacy procedural memory qdrant qwen rag reranker reranking settings sistema giudiziario summaries thecat third parties token tools training tutorial vector memory vischer weather white_cat
Tutti / Llm: agents ai act aliases alternative blog caffe20 california chatgpt chunk chunking cina civilenews colleciont copyright declarative memory democrazia digitale documentation documents embeddings english episodic memory example exchange memories giustizia guide hooks howto install intelligenza artificiale intro iod langchain llm local locale long term memory minerva mistral nlp ollama openstreetmap paper plugin pomaro privacy procedural memory qdrant qwen rag reranker reranking settings sistema giudiziario summaries thecat third parties token tools training tutorial vector memory vischer weather white_cat
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