Tag: GPT-4
-
Joe Cohen + Charles Russell’s Plan to Sell Its Own Software
Joe Cohen, previously from Dentons and now Director of Advanced Client Solutions (ACS) at Charles Russell Speechlys (CRS), is leading the launch of the ACS department at CRS. ACS will provide various capabilities to improve the delivery of legal work, including Solution Development, Legal Tech & AI, Legal Project Management, Alternative Delivery, and Process Improvement. […]
-
Contract Review Company LegalOn Releases Generative AI Assistant to Shortcut Key Tasks
LegalOn Technologies has recently launched the LegalOn Assistant, which is a chat interface powered by generative AI. It can help with drafting clauses, summarizing contract terms, and answering questions related to commercial contracting. The assistant has been rigorously trained and tested to ensure its accuracy and effectiveness, and it will be available to all customers […]
-
Regulating Generative AI – Is it all just a question of trust?
The legal profession is increasingly using generative AI (Gen AI) tools like Open AI‘s ChatGPT, Google’s Bard, or Microsoft’s Bing Chat, which can lead to improved productivity and efficiency but also generate inaccurate data and cause hallucinations. Ethics, care and competence are crucial contributions to trustworthiness, and lawyers need to exercise independent judgment while using […]
-
How Data Collaboration Platforms Can Help Companies Build Better AI
LLMs such as GPT-4 can improve decision-making, simplify operations, and promote innovation. Customised LLMs fine-tuned to an organisation can be even more efficient as they are trained on specific data, providing a tailored AI experience that enhances organisational performance. However, companies that wish to train fine-tuned models face three immediate challenges: 1) the necessity of […]
-
Google Gemini: Everything you need to know about the new generative AI platform
Gemini is a family of advanced generative AI models developed by Google’s AI research labs, DeepMind and Google Research. These models are natively multimodal, meaning they can work with and use more than just text. Gemini models are capable of performing various tasks such as transcribing speech, captioning images and videos, and generating artwork. Gemini […]
-
Overcoming Turing: Rethinking Evaluation in the Era of Large Language Models
The success of OpenAI’s GPT-4 in passing various professional exams, raising questions about the extent of artificial intelligence and its comparison to human intelligence. Some have suggested that it passed the Turing test as its conversational abilities have become so proficient that distinguishing its responses from a human’s has become increasingly difficult. The Turing test, proposed […]
-
From the Foothills to the Mountain Top – Two Arcs of Development for Generative AI & Law
The Bar Exam results are pretty amazing in their own right but as was noted in GPT takes the Bar Exam, the bar exam results (including both the multiple choice and the essays) were bottom-end results focused upon the raw capabilities of the leading Large Language Model (LLM)to support the delivery of legal services in […]
-
Biden releases AI executive order directing agencies to develop safety guidelines
President Joe Biden signed an executive order providing rules around generative AI, ahead of any legislation coming from lawmakers. The order has eight goals: Industry observers said the executive order is at least a step forward in providing standards around generative AI. Source: The Verge
-
Legal AI vs. ChatGPT: What Makes Them Different?
LexisNexis has been leading the way in the development of legal AI tools for years, working to provide lawyers with products that leverage the power of AI technology to support key legal tasks. Legal AI tools, such as Lexis+ AI, are technology platforms that have been specifically created, developed and trained for use in the […]
-
Claude 2 vs ChatGPT-4 results comparison test
In the rapidly evolving landscape of AI language models, Anthropic’s Claude 2 and OpenAI’s GPT-4 stand out for their blend of capability and safety. While both models aim to provide a wide range of functionalities, from answering questions to generating content, they diverge significantly in their approaches to safety, scalability, and application. Claude 2, focuses […]