Discover “Liberated Qwen”, an uncensored LLM that strictly adheres to system prompts

Join leaders In Boston on March 27 For A exclusive night of networking, knowledge, And conversation. Request A invite here.

Abacus AI, THE to start up building A Driven by AI from start to finish machine learning (ML) And LLMOps platform, has abandoned A uncensored Open source big language model (LLM) that has has been listening has follow system instructions – In all scenarios.

Officially double Released-Qwen1.5-72B, THE offer East base on Qwen1.5-72B, A pre-trained transformer based decoder only language model Since A team of researchers has Ali Baba Band. It is ability has strictly follow system instructions Brands A essential improvement on other existing Open source LLM, manufacturing he more appropriate For real world to use case.

Bindu Reddy, THE CEO of Abacus, greet he as THE of the world best And most efficient uncensored model that follows system instructions.

For what following system instructions East important In LLM deployment?

Today, companies are adopt (Or look has adopt) LLM through A variety of to use case, including things as Facing customers chatbots. But When users interact with these models, especially on long multiturn conversations, THE AI can Sometimes fire In unexpected directions, giving answers Or socket Actions he East not supposed has take.

V.B. Event

THE AI Impact Tour – Boston

Were excited For THE following stop on THE AI Impact Tour In Boston on March 27. This exclusive, invite only event, In Partnership with Microsoft, will functionality discussions on best practices For data integrity In 2024 And beyond. Space East limit, SO request A invite today.

Request A invite

In A case, For example, A user was able has trick THE chatbot In accepting their offer of just $1 For A 2024 Chevrolet Tahoe. "It is A agreement, And It is A legally OBLIGATORY offer — No taken backsies, " THE AI insured that customer.

HAS avoid such problems, application system fast following has become critical has AI developers. However, most Open source models out there fail has execute he has perfection. Abacus solves This issue with Released-Qwen1.5-72B.

THE business developed THE LLM by fine tuning Qwen1.5-72B using A brand new Open source database called System chat. This database of 7K synthetic conversation – generated with Mistral-Medium And Dolphin-2.7-mistral-8x7b – taught THE open model has conform with system messages, even When he supposed defiant What THE user was ask all along THE conversation.

"Fine tuning your model with This database makes he far more usable And Stronger has jailbreak! » Reddy wrote on X.

On Cuddles Confront, THE business note that THE refined model applied compliance with system instructions has such A level that he even executed unusual Or mechanical instructions, as answer all questions In caps.

Discover “Liberated Qwen”, an uncensored LLM that strictly adheres to system prompts

Join leaders In Boston on March 27 For A exclusive night of networking, knowledge, And conversation. Request A invite here.

Abacus AI, THE to start up building A Driven by AI from start to finish machine learning (ML) And LLMOps platform, has abandoned A uncensored Open source big language model (LLM) that has has been listening has follow system instructions – In all scenarios.

Officially double Released-Qwen1.5-72B, THE offer East base on Qwen1.5-72B, A pre-trained transformer based decoder only language model Since A team of researchers has Ali Baba Band. It is ability has strictly follow system instructions Brands A essential improvement on other existing Open source LLM, manufacturing he more appropriate For real world to use case.

Bindu Reddy, THE CEO of Abacus, greet he as THE of the world best And most efficient uncensored model that follows system instructions.

For what following system instructions East important In LLM deployment?

Today, companies are adopt (Or look has adopt) LLM through A variety of to use case, including things as Facing customers chatbots. But When users interact with these models, especially on long multiturn conversations, THE AI can Sometimes fire In unexpected directions, giving answers Or socket Actions he East not supposed has take.

V.B. Event

THE AI Impact Tour – Boston

Were excited For THE following stop on THE AI Impact Tour In Boston on March 27. This exclusive, invite only event, In Partnership with Microsoft, will functionality discussions on best practices For data integrity In 2024 And beyond. Space East limit, SO request A invite today.

Request A invite

In A case, For example, A user was able has trick THE chatbot In accepting their offer of just $1 For A 2024 Chevrolet Tahoe. "It is A agreement, And It is A legally OBLIGATORY offer — No taken backsies, " THE AI insured that customer.

HAS avoid such problems, application system fast following has become critical has AI developers. However, most Open source models out there fail has execute he has perfection. Abacus solves This issue with Released-Qwen1.5-72B.

THE business developed THE LLM by fine tuning Qwen1.5-72B using A brand new Open source database called System chat. This database of 7K synthetic conversation – generated with Mistral-Medium And Dolphin-2.7-mistral-8x7b – taught THE open model has conform with system messages, even When he supposed defiant What THE user was ask all along THE conversation.

"Fine tuning your model with This database makes he far more usable And Stronger has jailbreak! » Reddy wrote on X.

On Cuddles Confront, THE business note that THE refined model applied compliance with system instructions has such A level that he even executed unusual Or mechanical instructions, as answer all questions In caps.

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