##llm Libera.Chat - Chat Chat

Dies ist ein kleiner Bericht über den Chatraum ##llm, einem IRC Channel im Netz Libera.Chat. Sofern der IRC Channel bereits etwas länger registriert ist und von seinen Administratoren nicht als privat oder sogar als geheim gekennzeichnet wurde, enthält der Bericht die Besucherzahlen und Chat-Themen der letzten Tage und Wochen.

 Verwandte Suchbegriffe:  open source (147)   virca (1)   eggdrop (102)   chat (2365)  


Der Chatraum ##llm vom IRC-Netz Libera.Chat wurde am 2023-07-10 registriert und der Kategorie Chat Chaträume zugeordnet. Die Registrierung des Chatraums erfolgte aufgrund hoher Besucherzahlen.

##llm Libera.Chat - Diagramm über die Anzahl an Benutzern während der letzten Woche

bis, von Thema
2025-06-22,
2024-12-18 
Large Language Models - what they can do, how they work, and how to run them | ##llm-bots | bots: llamar, fine tune mistral-7b.Q6_K + llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; electrabot, meta-llama-3-70b-instruct-ima | tokenizer, embeddings, positional encoding, attention matrices, logits, back-propagation, inference
2024-12-17,
2024-04-25 
Large Language Models - what they can do, how they work, and how to run them | ##llm-bots | bots: llamar, fine tune mistral-7b.Q6_K + llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0; electrabot, meta-llama-3-70b-instruct-ima | tokenizer, embeddings, positional encoding, attention matrices, logits, back-propagation, inference
2024-04-24,
2024-02-29 
Large Language Models - what they can do, how they work, and how to run them | ##llm-bots | bots: llamar, fine tune mistral-7b.Q6_K + llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, logits, back-propagation, inference
2024-02-28  Large Language Models - what they can do, how they work, and how to run them also ##llm-bots | bot models: llamar, collectivecognition-v1.1-mistral-7b.Q6_K and llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, infere
2024-02-27,
2024-01-24 
Large Language Models - what they can do, how they work, and how to run them | also ##llm-bots | bot models: llamar, collectivecognition-v1.1-mistral-7b.Q6_K and llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, infere
2024-01-23,
2023-12-21 
Large Language Models - what they can do, how they work, and how to run them | bot models: llamar, collectivecognition-v1.1-mistral-7b.Q6_K and llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, inference
2023-12-20,
2023-10-18 
Large Language Models - what they can do, how they work, and how to run them | bot models: llamar, collectivecognition-v1.1-mistral-7b and llava-v1.5-7b; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, inference
2023-10-17  Large Language Models - what they can do, how they work, and how to run them | bot models: llamar, collectivecognition-v1.1-mistral-7b; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, inference
2023-10-16,
2023-10-04 
Large Language Models - what they can do, how they work, and how to run them | bot models: llamar, Wizard-Vicuna-13B llama1; tinsoldier, OpenAI gpt-3.5-turbo; medbot, medalpaca 7B; tinyllama, tinyllama-1.1b-chat-v0.3 q4_0 | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, inference
2023-10-03,
2023-10-01 
Large Language Models - what they can do, how they work, and how to run them | bot models: llamar, Wizard-Vicuna-13B llama1; tinsoldier, OpenAI gpt-3.5-turbo; medbot, Open Assistant(?) | tokenizer, embeddings, positional encoding, attention matrices, masked attention, logits, back-propagation, inference


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