AI
Large language models in financial workflows — fine-tuning, RAG, prompt engineering, on-device LLMs, and inference cost economics.
APPLIED AI
BankStatementParser kayan aiki ne na Python na buɗaɗɗen tushe da ke mai da CAMT, PAIN.001, MT940, OFX/QFX, CSV, da PDF da aka duba zuwa samfurin mu'amala mai haɗin kai wanda ma'aikatar kuɗi za ta iya bincika — bincike na musamman, madadin LLM, OCR, tabbatar da ma'auni, da bita.
APPLIED AI
Shekaru goma sha biyu bayan, fim ɗin Lucy na Besson yana karantawa kamar gwajin tunani game da ilimi da ke ƙaura daga jiki zuwa na'ura — LLMs da qubits sun tabbatar da shi a ɓoye.
APPLIED AI
Bincika takarda ta MM1 ta Apple akan Multimodal Large Language Models (MLLMs). Koyi game da gine-ginensu, dabarun pre-training, da yuwuwar AI.
APPLIED AI
Injiniyan prompt yana tsara shigar LLM a lokacin inference — ba tare da sabunta nauyi ba. Labarin yana rufe dabarun da aka tabbatar suna da inganci a 2024: zero-shot task framing (Brown et al., 2020), chain-of-thought reasoning (Wei et al., 2022), self-consistency sampling (Wang et al., 2022), ReAct agent loops (Yao et al., 2022), haɗarin indirect prompt injection (Greshake et al., 2023), da ƙirar RAG daga ayyukan kuɗi.
APPLIED AI
Generative AI ya wuce daga bincike zuwa aiwatarwa a 2023. GPT-4, Claude 2, Llama 2, da Mistral sun nuna cewa large language models na iya sarrafa duba takardun shari'a, samar da code, da tattaunawar abokan ciniki a ingancin da ya dace da ɗan adam — wanda ya haifar da tambayoyin gaggawa na gudanarwa game da hallucination, zubewar bayanai, da bin ƙa'idoji a ayyukan kudi.
