✅ #reinforcementlearning (RL) is the science of #decisionmaking. ✅ In the absence of a training dataset, it is bound to learn from its experience. ✅ #reinforcementlearning differs from #supervisedlearning in a way that in #supervisedlearning the training data has the answer key with it so the #model is trained with the correct answer itself whereas in #reinforcementlearning, there is no answer but the reinforcement agent decides what to do to perform the given task. ✅ It is employed by various software and machines to find the best possible behavior or path it should take in a specific situation. ✅ It is about taking suitable action to maximize reward in a particular situation. ✅ #reinforcementlearning is an area of #machinelearning. □ How is Reinforcement learning able to solve problems? Ten Ways LLM Models Such As ChatGPT Can Be Used To Assist Lawyers Better take your buggy-whips and retool as Bot trainers."Ĭheck out Ralph's helpful article here: Mary Mack, CISSP #AI #generativeai #legaltech #legaltechnology #largelanguagemodels Contract review attorneys who used to stare at docs all day and code them, your days are numbered. Bots are great at reading at near light-speed and they never forget. It is not quite there yet, but should be soon, after issues of confidentiality and humans-in-the-loop training are resolved. This AI-driven approach can improve the #eDiscovery process and results. They can be trained to sift through vast data sets, identify relevant documents, and detect otherwise hidden patterns or inconsistencies. Out today on JD Supra, the always brilliant visionary Ralph Losey shares a gift to those in #legal "Ten Ways #LLM Models Such As #ChatGPT Can Be Used To Assist Lawyers"Īs a specialist in e-Discovery, I can speak with confidence about the strong potential of LLM GPT models in this domain.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |