Welcome to the Bazaar …?? A marketplace of AI apps and your dream job - applying AI

We are excited to bring you the next installment of the Atlas. Though, what makes this edition newsworthy is the community - again! Why? Seeking to educate, to learn from or guide potential future investments the past two weeks have been nothing short of doing what a community does best - inspire.? OK, enough there. We are as well excited to have officially opened the GenAI.Works app marketplace AND … drumroll … per the community's feedback - the hottest AI job opportunities, for you, globally.? Get your learn on, contribute strong, and grow your career - for yourself and for others!? Head over to GenAI.Works

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In this edition of the Atlas - What’s Shaking?

1. Checkmate

2. Getting your 10K Steps In

3. The People, The State, and Cue’s from the Past

4. Health and the Pursuit of LLMs

??? What’s Hot: - Checkmate

?? Discover, learn, and grow live - AI Marketing Virtual Summit. AI enthusiasts, consider this your invitation to join the Generative AI community and yours truly, official media partner of the free, online AI Marketing Summit presented by Customers.ai and experts at the forefront of applied AI in marketing. Our friends at Customers.ai curated the ultimate day of learning and exploration across high-impact AI applications in lead generation, digital advertising, SEO, content marketing, video sales letters, email marketing, data, analytics, and actionable business intelligence. Tune in live to keynotes and key insights from Jasper.ai, Triple Whale, MarketMuse, Peter Kell, Larry Kim, and more. This is the world's largest global gathering at the cross-section of AI and marketing, and the most direct and immediate way to receive a full-spectrum education in powerful AI technologies that are accelerating business growth. Sign up free to watch live, engage in live Q&A, and tap into on-demand replays.

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Doing AI right - Apple continues to build out and invest in its AI capabilities. So why is it less visible in this space than others in the peer group? Our take, because they have a loyal customer base, great products and a developer ecosystem that will embrace just about anything Apple brings on the scene. So for Apple, AI is not about company relevancy, rather it’s about making experiences better for their customers. Don’t become an AI company because AI is the hype. Become a company that delivers great value to customers and leverages the best of technology (AI or otherwise) to bolster those experiences that delight. What do you think?

Fomo Buying Spree - Who’s buying AI. While recent acquisitions of Mosiac ($1.3B), Mood ($200M) Casetext ($650M and others, there is a significant appetite to bring AI technologies into existing portfolios. Be it for technology expertise, customer acquisition or complementing the stack, AI deals are going to range all over the board. Our belief is that Data players, if they are not building, will buy complements, for a price. Large technology players will buy for tech talent and IP, and incumbents who have great product, but lack AI expertise or capabilities would (should) look for great technologies and teams that have a limited and struggling GTM. Why? AI can help revitalize the trusted experience you provide your customers today. Please, don’t acquire so that you too can come out with your own model for the market.

?? Applying AI: - Getting Your 10K Steps in

“Step by Step”: Backstreet Boys, anyone? - No, in this case a really insightful summary on how to bring LLMs into your Enterprise Applications.? Foundation Capital’s Ashu Garg and Jaya Gupta explore and breakdown what we’ve found to be one of most concise approaches for a diverse community to understand.? 1. Choose Your Use Case, 2. Choose Your Model, 3. Adapt and Improve.? The article explores the proverbial question - do you need Generative AI, open/source/proprietary model selection , cost, and methods to fine tune.? This is all good, but we’d offer a foundational step, Step 0. Shape your business Outcome: If it’s clear that AI methods (Gen, Predictive, etc) can radically improve operations, retain and attract new customers and differentiate a product experience w/ cost considered (build, run, maintain), then financially it’s wise to embark on. So often Step 0 is assumed or not known at all and we have what - a land of unsubstantiated experiments - keep in mind, there is absolutely no fault in trying. That’s how we learn. Unsure of where to start, we’d recommend checking out - Manny Bernabe's book - He is a member of the GenAI Works Technology Council, Bernabe brings practical knowledge on how to make Step 0 a reality.

Patterns Emerge - Building LLM based products and systems - Eugene Eyan has the credibility and further, provides both a technical and business oriented view to building LLM based products. It’s a coffee or beverage read folks, but it’s worth it. Coincidentally, it builds upon the article above, but takes us down a path of how to drive product engagement and reinforcement - from Data to User. Using LLMs or predictive/prescriptive technologies is not to be in the abstract. Rather, (cost/perf/capability) they can be powerful function calls to make your product even more engaging - intuitive, insightful, anticipatory and useful to your end users. Happy building.

Enterprise Generative AI Unfolded - 10 Steps to factor and deploy into the Enterprise. While every catchy news article is all about the 3 things, 8 ways to, 10 steps, etc.. We are glad to find 10 actual steps you should consider, when it comes to Enterprise Generative AI. Ben Lorica lays it out. While the dearth of technical guidance, tools and approaches are there, there are a few topics and one we want to hone in - Prioritizing Security and Compliance. Securing the cloud became a $50B market AND, it helped us to adopt cloud based technologies. The adoption of AI will exponentially spawn new security companies and do what? Yes, - help us to safely adopt distributed AI technologies at scale. Two such companies we’ve been tracking are Credo AI and TMRYK. The rise of Dev, Ops and the Dev, Sec, Ops did one thing well for us - sleep better at night knowing what we pushed to production, well at least we felt secure. See where this is going, again?? Both Credo AI and TMRYK aim to ensure the coolness of compliance with AI models helps us all sleep better at night as things roll into production.

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??AI Snippets: - The People, The State, and Cue’s from the past

The People’s vs. Prompts - We all love talking about AI, perhaps too much at times. As we mentioned briefly in our last newsletter, we need to talk more about Culture. In a recent article by Google Cloud, they are signaling what’s important - your people. We agree. In the age of any technology advancement, we aim to focus on the Smart’s (Tech Finance, Ops, etc) vs. The org (Culture, no politics, etc) - For those who love aligning org and challenges brought there, I am drawing on a great Author’s set of work - Patrick Lencioni. Lencioni argues that leaders are trained and gravitate towards solving the Smarts. While important, Google’s take shifts the focus to the org. Empowering your people to embrace AI and an AI first thinking mode, is as important, if not more important in this AI race. After all, AI will become just a ‘thing’ in making our business and world better - those who know how to apply it will prevail.

The State of State’s - Mckinney & Company outlines the State of AI in 2023 - Generative AI’s breakout year. True validation of a market is fueled by adoption. In AI, it comes down to business experts, domain experts and those who run the business. Don’t get me wrong, we are technologies at heart, but the great work we do only is validated and substantiated by our business counterparts.? 25% of C-Suite Executives admit they use gen AI products for work and 25% have AI on the board agenda. Possibly the most revealing of a stat is ? of respondents expect Generative AI to disrupt their industry’s competition in 3 years.? We would not argue this, but rather refine it. Generative AI is just one piece of the AI family of capabilities. Rather, AI as a whole has a potential to not only disrupt, but rather help industries and companies be reimagined. Why? AI is a capability to enhance engagement. How this shows up is not purely for startups to gain an advantage. A winning mix:? customers, a data moat, and an ability to enhance existing systems and workflows. We could be wrong, but we’ll share our PoV in the next newsletter as to why we believe the opportunity will be greater for a few sectors.

Taking Cues from prior Waves to build sustainable economic value:? Matt Miller shares a good post, when it comes to winning on Cloud and now winning with AI. “…if you’re a startup, your huge opportunity is to develop a unique insight about what’s important to the customer. You can be closer to the customer and their experience - if you can solve for that, you can build a really unique, differentiated product or service and create hooks, experiences or workflows that are so unique for that customer that they love you. A community that champions you is a powerful thing.” I think this holds true for not just startups, but existing products that can be reimagined. In many ways, existing products may win; as the acquisition costs are different, and trust has already been established. In either case, the logic is sound and ultimately building experiences that delight customers and help them achieve their objectives drives retention.

??The Stack: - Health and the Pursuit of LLMs

Health … First As we normally pull out the views of emerging components of LLMs and the AI stack, we are taking a twist to lead first with an industry vertical. Healthcare, like other industries, has a significant opportunity to transform our lives … even w/o AI. Infuse AI in the picture and the space is redefining itself. A16Z recently wrote a good article - Where will AI have the biggest Impact? Healthcare that pegs various dimensions as to where the transformation will start; backoffice, operations, patient records, etc. The opportunity, at the very least to help simplify the patient provider experience is tremendous. Companies like Hippocratic AI are doing what LLMs ultimately should do - focus on an outcome, industry domain knowledge, context w.r.t. - security, privacy and data sharing. You have a purpose built LLM that should be tuned - in this case for healthcare related experiences and operations. You’ll see more advancements with LLMs, but the trend we aim to curate are around those specific areas that are outcome defined w/ domain context. Share with us your industry approach, we’d love to collaborate and amplify.

Checkmate Llama 2 - as with one thing we can be sure of, each week a new model and big player enters the exciting world of AI.? This week, Alibaba (not surprised) publicly unveils its open-sourced models: Qwen-7B and Qwen-7B-chat, which are two small sized models aimed at helping small and medium businesses use AI. They will be open and free up to 100M users vs. 700M users Llama2 is for commercial use.? In all cases, the model hype with entrants is exciting, especially as the landscape for closed and open environments evolve. The bigger question could be - who’ll enable a truly open technology environment that treats any and all services - compute through ai - as a utility. Skypilot and others are helping us think this way.

Gorillas in the Mist - An API appstore for LLMs, oh my? Build by Shishir G. Patil*, Tianjun Zhang*, Xin Wang, Joseph E. Gonzalez over at UC Berkeley, Gorilla aims to simplify system access API calls to major environments and they are adding more weekly. Zero-shot Gorilla outperforms GPT-4, Chat-GPT and Claude. Gorilla is extremely reliable, and significantly reduces hallucination errors. We are excited to see how this evolves.

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