https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/Recent content in Home on Eigenform Continuous Learning Tool TipsHugoen-USTue, 13 Oct 2026 00:00:00 +0800https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/Tue, 13 Oct 2026 00:00:00 +0800https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/<p><figure class="article-image"> <picture> <source type="image/webp" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_19f46424fe7faecd.webp 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_99b1bd395e6f276d.webp 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_f830848e2db4b986.webp 1200w" sizes="(min-width: 900px) 800px, 100vw"> <source type="image/jpeg" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_8462ad9c648593f2.jpeg 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_814100922b42dac.jpeg 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_ebe2d5cf0b638b0e.jpeg 1200w" sizes="(min-width: 900px) 800px, 100vw"> <img src="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm_hu_814100922b42dac.jpeg" alt="Continuous learning LLM at two scales: a frontier model merges specialists into fixed snapshots, while a local agent&rsquo;s environment verdict trains a fresh LoRA adapter on a sliding window each generation" title="A frontier model ships fixed snapshots; a local agent can learn from its environment&rsquo;s verdicts" width="1672" height="941" loading="eager" fetchpriority="high" decoding="async" class="zoomable" data-full-url="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continuous-learning-llm/cover-continuous-learning-llm.jpeg"> </picture><figcaption>A frontier model ships fixed snapshots; a local agent can learn from its environment&rsquo;s verdicts</figcaption></figure></p>https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/Fri, 09 Oct 2026 03:00:00 +0800https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/<p><figure class="article-image"> <picture> <source type="image/webp" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_80e9a6eb0c7db3ab.webp 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_d3852a374e894d8.webp 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_c778bdd5220c1820.webp 1200w" sizes="(min-width: 900px) 800px, 100vw"> <source type="image/jpeg" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_59c4ad2568ced59.jpeg 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_cbb51f976cec849f.jpeg 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_57d3f070fc8d1401.jpeg 1200w" sizes="(min-width: 900px) 800px, 100vw"> <img src="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora_hu_cbb51f976cec849f.jpeg" alt="Continual learning LoRA over three days: each night, modified SFT trains a small amber adapter on a window of the day&rsquo;s successful tasks beside a frozen base model, and the robot arm solves more tasks each day as a tasks-solved line rises" title="Each night&rsquo;s adapter learns from the day&rsquo;s successes, so the agent can solve more the next day" width="1672" height="941" loading="eager" fetchpriority="high" decoding="async" class="zoomable" data-full-url="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/continual-learning-with-nightly-loras/cover-continual-learning-lora.jpeg"> </picture><figcaption>Each night&rsquo;s adapter learns from the day&rsquo;s successes, so the agent can solve more the next day</figcaption></figure></p>https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/Fri, 09 Oct 2026 02:00:00 +0800https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/<p><figure class="article-image"> <picture> <source type="image/webp" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_c07eea27d03299d2.webp 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_86f39db31adec7c5.webp 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_23abc2ab28a431ec.webp 1200w" sizes="(min-width: 900px) 800px, 100vw"> <source type="image/jpeg" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_e26231710ff815e.jpeg 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_deab36aaa0bbea81.jpeg 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_e0348c2ebea89b99.jpeg 1200w" sizes="(min-width: 900px) 800px, 100vw"> <img src="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl_hu_deab36aaa0bbea81.jpeg" alt="SFT vs RL for sparse-feedback agents: modified SFT trains a small adapter on a window of accepted episodes and archives the failures, GRPO groups that all failed give no gradient, and RLVR learns from a verifier that marks every rollout" title="Match the method to the signal you have" width="1672" height="941" loading="eager" fetchpriority="high" decoding="async" class="zoomable" data-full-url="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/sft-vs-rl-sparse-feedback/cover-sft-vs-rl.jpeg"> </picture><figcaption>Match the method to the signal you have</figcaption></figure></p>https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/Thu, 08 Oct 2026 00:00:00 +0800https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/<p><figure class="article-image"> <picture> <source type="image/webp" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_a9e8e8ca9585a986.webp 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_77a0c402f5cf7bf3.webp 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_ef0eaad5835868fc.webp 1200w" sizes="(min-width: 900px) 800px, 100vw"> <source type="image/jpeg" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_c4676c5211374df7.jpeg 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_14244718a34f168f.jpeg 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_55f7a2cd02c3a2ee.jpeg 1200w" sizes="(min-width: 900px) 800px, 100vw"> <img src="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting_hu_14244718a34f168f.jpeg" alt="Catastrophic forgetting in continual fine-tuning: a model cube trained over three rounds loses older skill tiles as new ones arrive, beside four techniques that reduce it: a LoRA adapter, a sliding window, rehearsal data and a KL anchor to the base model" title="Each round of fine-tuning can erase older skills" width="1672" height="941" loading="eager" fetchpriority="high" decoding="async" class="zoomable" data-full-url="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/catastrophic-forgetting-continual-fine-tuning/cover-catastrophic-forgetting.jpeg"> </picture><figcaption>Each round of fine-tuning can erase older skills</figcaption></figure></p>https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/Thu, 08 Oct 2026 00:00:00 +0800https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/<p><figure class="article-image"> <picture> <source type="image/webp" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_3c911ca67e9ffd1d.webp 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_53ac2ebab5456e46.webp 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_2f4fdfd9196de1a2.webp 1200w" sizes="(min-width: 900px) 800px, 100vw"> <source type="image/jpeg" srcset="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_849133ccde8179eb.jpeg 480w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_c779f88985ee4d50.jpeg 800w, https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_126de50de4cff1d6.jpeg 1200w" sizes="(min-width: 900px) 800px, 100vw"> <img src="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory_hu_c779f88985ee4d50.jpeg" alt="AI agent memory compared with reinforcement learning and LoRA fine-tuning: a robot arm repeats yesterday&rsquo;s mistake beside a model cube, with three paths: a memory note added to the prompt of a frozen model, a reward gauge feeding reinforcement learning, and successful attempts training a small LoRA adapter" title="Memory carries facts; only weight updates change habits" width="1672" height="941" loading="eager" fetchpriority="high" decoding="async" class="zoomable" data-full-url="https://www.eigenform.ai/recursive-self-improvement/continuous-learning-tool-tips/ai-agent-memory-is-not-learning/cover-ai-agent-memory.jpeg"> </picture><figcaption>Memory carries facts; only weight updates change habits</figcaption></figure></p>