The ABCs of AI tools

This is fantastic article highlighting the current state of AI tools including key solutions Providers:

Amazon

Foundational models: Titan

Platform: Bedrock

Tool: CodeWhisperer, Amazon Q

Description: Bedrock serves as a platform for enterprises to choose which model they want to work with. Users can access AWS’ Titan family of foundational models as is or customize them with proprietary data. Amazon Q, which is in preview, is an interactive, generative AI-powered assistant available via CodeWhisperer that gives guidance to explain code, upgrade and migrate applications and assist in debugging or optimizing.?

Anthropic

Foundational models: Claude, Claude 2

Tool: Claude.ai (free and paid tiers) and Claude 2.1 (API)

Description: Claude 2 and previous Claude models function as general purpose large language models, using a Transformer architecture. Claude 2 was released in July 2023 and is well suited to support creative or literary use cases. The newer Claude model is also better at performing coding tasks than previous models.?

Context: Anthropic entered the mainstream generative AI discussion as a part of Google’s AI strategy. In February, the startup, which was founded by former OpenAI employees, said it would use Google Cloud’s infrastructure. Amazon invested $4 billion in the startup in September, gaining a minority stake in the company.?

GitHub

Foundational models: OpenAI’s Codex, GPT-4

Tool: Copilot Business

Description: GitHub’s Copilot for businesses does not retain any prompts or suggestions. The coding assistant is meant to help developers write code faster. The tool blocks suggestions matching public code, plugs right into the code editor, offers multi-line function suggestions, manages companywide policies and produces audit logs. The Copilot also has a chat functionality powered by OpenAI’s GPT-4.

GitLab

Foundational models: Found on Vertex AI, Anthropic Claude 2 and Vertex AI Codey power chat functionality

Tool: GitLab Duo suite, includes Duo Chat, Duo Code

Description: Customers using the tool can prompt the chat to explain, propose tests and simplify code. The tool can also generate code from scratch. The chat feature also acts as a coach, giving guidance and assisting in the ideation process. The tools do not use customer proprietary code or inputs as training data.?

Context: GitLab partnered with Google Cloud in May to access the hyperscaler’s customizable foundation models and open generative AI infrastructure within Vertex AI to build and add AI-assisted features directly into its DevSecOps platform.?

Google

Foundational models: BERT, LaMDA, PaLM 2 ?

Platform: Vertex AI, Generative AI Studio

Tool: Bard, Duet AI

Description: Duet AI can draft and refine emails, generate plans for a project in Sheets, create original images in Slides and write and draft documents. Bard is a large language model powered by LaMDA that can connect to Google apps and services as well. Human reviewers will not see content that Bard pulls from Gmail, Docs and Drive. The content is not used to curate ads or train Bard, and users can turn off extensions at any time. Bard can also function as a programming assistant.?

Meta

Foundational models: Llama 2, Code Llama, SeamlessM4T

Description: SeamlessM4T is the newest foundational model from Meta, released at the end of August. The model is a multimodal, multilingual system that can translate and transcribe speech and text for nearly 100 languages. Code Llama came out a few days before, serving as a family of models focused on code generation. One specialized in Python while

Microsoft

Foundational models: Internal and OpenAI

Platform: Azure AI Machine Learning Studio, Azure OpenAI Service

Tool: Copilot, Bing Chat Enterprise

Description: Customers have access to several foundational models within Azure AI Machine Learning Studio, including from Stability AI, Meta and Nvidia. The company has also embedded copilot functionality across its products as well as released an enterprise-grade Bing Chat, powered by OpenAI’s technology.?

OpenAI

Foundational models: GPT-3.5, GPT-4

Tool: ChatGPT Enterprise

Description: ChatGPT is a conversational generative AI tool, powered by OpenAI’s foundational models. The startup released an enterprise-grade version of the tool in August.

Context: OpenAI debuted ChatGPT to the public in November 2022. The tool was met with enthusiasm as well as skepticism, garnering the attention of governing bodies, companies and stakeholders. The company’s platform was temporarily banned by the Italian Supervisory Authority and is currently being investigated by the Federal Trade Commission. OpenAI has released enterprise-specific versions of its products as calls grew for stronger security and transparency.?

The Institute of Technology Innovation

Foundational models: Falcon

Description: The Falcon model, like other LLMs, has different sized parameters. The 40 billion parameter model was trained on nearly five trillion tokens, the majority of which was gathered by public web crawls, followed by research papers, legal text, news, literature and social media conversations, according to the company. The 180 billion parameter model is suited for reasoning and coding, outperforming Meta’s Llama 2 and ranking just behind OpenAI’s GPT-4. The model performs on par with Google’s PaLM 2 Large, which powers Bard, according to the company.?

Writesonic

Foundational models: GPT-4

Tool: Chatsonic

Description: The tool works with a Google integration, allowing it to pull from real-time data and sources. Users can add PDFs, links, blog posts and videos to the chat to receive summaries or ask questions about the resources. The tool also has a prompt library with over 1,000 vetted prompts to cater to marketing, sales, summarization and other use cases.?

Context: Writesonic has several enterprise customers, including Marriott, PwC, Mercedes-Benz, Spotify and Amazon, according to its website.

Writer

Foundational models: Palmyra

Tool: Writer API

Description: The models are built with enterprise-grade security and target several different industry verticals, including retail, healthcare, technology and financial services. The tools are SOC 2 Type II, PCI, and HIPAA compliant. The models also ensure accuracy with fact checks. There are templates for businesses to use to create summaries, frequently asked questions documents, job descriptions, press releases, case study and product descriptions.??

Source - https://www.ciodive.com/news/ChatGPT-alternatives-enterprise-generative-AI-tools/700929/?utm_source=Sailthru&utm_medium=email&utm_campaign=Issue:%202023-11-29%20CIO%20Dive%20%5Bissue:56848%5D&utm_term=CIO%20Dive

I can add a bit more colour:

1. More seed money as part of partnering with AI startups will continue to be key focus areas as part of developing generative AI models
2. Mitigating risks with generative AI - https://www.zdnet.com/article/the-3-biggest-risks-from-generative-ai-and-how-to-deal-with-them/
3. CFO continues to look at ways to leverage generative AI - https://finance.yahoo.com/news/cfos-approaching-ai-according-mckinsey-115457473.html
4. How best to support small to medium size organizations adoption of generative AI - https://itbrief.com.au/story/smes-slow-to-adopt-ai-despite-recognising-future-impact BDO Canada BDO in Australia Grant Thornton Australia Canadian Federation of Independent Business Grant Thornton LLP (Canada)
5. Addressing the challenges with LLM - https://www.infoworld.com/article/3710449/3-big-challenges-of-commercial-llms.html
6. CPA education continues to be expanding into data, AI, and cybersecurity - https://www.csoonline.com/article/1247104/rise-of-the-cyber-cpa-what-it-means-for-cisos.html
7. Role of generic foundational models - https://www.spglobal.com/en/research-insights/featured/special-editorial/foundation-models-powering-generative-ai-the-fundamentals
8. Observability / Bad actors - https://www.montecarlodata.com/blog-data-observability-reliability-in-ai-era/
9. Privacy rules - https://www.ncsl.org/state-legislatures-news/details/racing-to-keep-up-consumer-data-privacy-and-ai-advancements
10. GRC framework - https://empoweredsystems.com/blog/embracing-ai-in-governance-risk-and-compliance-grc-navigating-the-new-frontier/

Paul Young CPA CGA

Senior Data and AI Thought Leader - Financial Planning, Analysis, and Reporting

Paul Young is Senior Customer Success Manager and author of many blogs on how best to leverage data and AI as part of the close, consolidate, and reporting cycle. Paul has supported over 300 data and AI projects over the past 8 years.

[email protected]

#generativeAI #risk #compliance #data #AI #foundationmodel #LLM #badactors

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