u/Early-Importance8582 — reddlx

I proposed two architectures for enabling LLMs to learn daily from personal interactions:

Internal KV-Sphere Architecture (IKSA)

Background Micro Fine-Tuning (BMFT) Both work with zero GPU and zero catastrophic forgetting.

Full paper:

huggingface.co/spaces/Persak/continual_learning_position_paper

Looking for researchers to validate or disprove these ideas! — Paras Lashkari

▲ 3 r/AIDeveloperNews+1 crossposts

I proposed two architectures for enabling LLMs to learn daily from personal interactions:

Internal KV-Sphere Architecture (IKSA)

Background Micro Fine-Tuning (BMFT) Both work with zero GPU and zero catastrophic forgetting.

Full paper:

huggingface.co/spaces/Persak/continual_learning_position_paper

Looking for researchers to validate or disprove these ideas! — Paras Lashkari

I proposed two architectures for enabling LLMs to learn daily from personal interactions:

Internal KV-Sphere Architecture (IKSA)

Background Micro Fine-Tuning (BMFT) Both work with zero GPU and zero catastrophic forgetting.

Full paper:

in comments

Looking for researchers to validate or disprove these ideas! — Paras Lashkari

▲ 4 r/LocalLLM+2 crossposts

I proposed two architectures for enabling LLMs to learn daily from personal interactions:

Internal KV-Sphere Architecture (IKSA)
Background Micro Fine-Tuning (BMFT) Both work with zero GPU and zero catastrophic forgetting.

Full paper:

Looking for researchers to validate or disprove these ideas! — Paras Lashkari