Matrice des modèles fondamentaux
The first simulated image of a black hole was calculated with an IBM 7040 computer using 1960 punch cards and hand-plotted by French astrophysicist Jean-Pierre Luminet in 1978.
L’écosystème d’agents du futur comprend quatre éléments clés :
LLM (Large Language Models) : fournissent une « pensée consciente » au sein des agents IA et ont été formés sur les données textuelles,
Outils : API externes pour faciliter la réalisation des tâches et l'interaction des agents avec le monde réel,
Mémoire : comprend divers mécanismes de stockage de données pour conserver et rappeler des informations, et
Autocritique : la capacité de corriger les erreurs lors de l’exécution des tâches.
3 Ways Your Clinical Trial Software Can Help You Attract and Retain KOLs
Key Opinion Leaders (KOLs) are critical to the success of any research study. The experience and credibility of your KOLs add legitimacy to a clinical trial while also helping to mitigate any potential risks. As such, attracting KOLs to your study, and keeping them engaged for future research studies, is an important element in driving long-term success. Working with our clients, we’ve identified that a driving factor in attracting and retaining KOLs is to improve the quality of life for trial KOLs. The better the experience your KOL has working on your trial, the more likely you are to retain that KOL for future studies. This blog post breaks down three ways a clinical trial oversight system can help you attract and retain KOLs.
Outils et algorithmes d'autocritique pour la conception d'agents intelligents: approches actuelles
Introduzione La scoperta di nuovi farmaci è un processo lungo e complesso, che può richiedere anni di ricerca e sviluppo prima che un farmaco potenziale possa essere testato clinicamente e infine approvato per l’uso terapeutico. Questo processo tradizionalmente lungo è caratterizzato da numerosi passaggi, tra cui la scoperta di molecole, la convalida di bersagli, l’ottimizzazione del composto, i…