Sign in to view Sunny’s full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Palo Alto, California, United States
Contact Info
Sign in to view Sunny’s full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
12K followers
500+ connections
Sign in to view Sunny’s full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
View mutual connections with Sunny
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
View mutual connections with Sunny
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Sign in to view Sunny’s full profile
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
or
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Experience & Education
-
Groq
** ** *********, **** ** ********** *****
-
***** ********
***** ********
-
********** ************
**-******* *** ***
View Sunny’s full experience
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
Welcome back
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
View Sunny’s full profile
Sign in
Stay updated on your professional world
By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.
New to LinkedIn? Join now
Other similar profiles
-
Adam Tachner
Palo Alto, CAConnect -
Jonathan Ross
CEO & Founder, Groq®
Palo Alto, CAConnect -
Mohsen Moazami
United StatesConnect -
Tim Sears
Palo Alto, CAConnect -
Jose M.
Palo Alto, CAConnect -
John Barrus
Menlo Park, CAConnect -
Bryan Banisaba
San Francisco Bay AreaConnect -
Michelle Donnelly
San Francisco, CAConnect -
Estelle Hong
Mountain View, CAConnect -
Jon Tait
Los Altos, CAConnect
Explore more posts
-
Lucas Dickey
I like this idea of "technical taste". It gets into where software engineering is as much creative art as it is science. Four great takeaways (IMHO) for software devs in this era in particular: 1. Aspiring engineers should cultivate a sense of curiosity, experiment with different tools and technologies, and embrace a mindset of continuous learning. 2. AI has the potential to streamline processes and enhance productivity for engineers, but it may also lead to disruptions in traditional software development workflows. 3. Developing technical taste and judgment is essential for making informed decisions about which technologies and approaches to pursue. 4. Collaboration and open-mindedness are key to leveraging the full potential of AI and staying ahead of technological advancements. I also really liked these two quotes from Sam Schillace: 1. "The right time to do something is when you have that feeling in the pit of your stomach that's like, 'oh, this is a great idea and it's going to suck to build because nothing's ready yet.'" 2. "Technical taste is like, 'how well have you consolidated that set of experiences and heuristics into judgment that you can apply accurately when you see new things?'" 3. "It may be the case that very small teams can do very large projects, or like we were talking about before, it may be the case we're just going to get really ambitious about what we try to do with the same size of teams, which is kind of where I would put my money." Great job on continuing to put out great episodes, Brett Berson and team First Round Capital! #ai #engineering #softwaredevelopment
5
-
Paul Hsu
Vishal Sachdev highlights the strategic integration of open source and proprietary tech in architecting tech stacks, developer ecosystems and resulting business models. The world class companies effectively balance value commoditization in open source and value capture in proprietary tech. This is the strategic challenge for companies operating in #blockchain and #AI. I believe those who operate at the intersection of blockchain *and* AI stand to win this strategic battle...
3
1 Comment -
Garnet S. Heraman
Science-fiction is inherently speculative. Author George #Orwell of ‘#1984’ predicted concepts such as doublethink, little earbuds and society’s obsession with the black mirror screens that dominate our lives — and according to the BBC, novelist and short story author JG Ballard, of “High-Rise” and “Crash” fame, has predicted the current tool and cultural fixation of #GenerativeAI in the modern society — only he didn’t just speculate them within a story, he is actually one of the first use-cases of a generative AI used in a creative context — Ballard was so fascinated with the growing technological advancement of computers that he used one to compose poems, essentially the precursor to what we have now with ChatGPT. Today, the debate about the creative use of generative AI and its value on creative industries is an extremely fraught and controversial topic, but if controlled in a space that doesn’t replace human labor or try to equate itself to traditional art forms, it is interesting to see what computers can do and how they are creatively limited in comparison. Ballard’s two poems, The Yellow Back Novels and Machine Gun City are generated, and both include notes on how Ballard achieved producing them. Regardless of quality (Ballard himself probably wouldn’t describe these two poems as his best work), it is interesting to see primitive versions of the technology that we utilize on the daily today, and how these moral conversations that concern them would continuously evolve.
1
1 Comment -
Sanket Khandare
*Mixture of Agents (MoA)* is an innovative way to boost Large Language Models’ performance by leveraging the strengths of multiple agents as a team. Layered Architecture: MoA arranges many LLMs in layered architecture, each layer composed of numerous individual agents(LLMs). Collaboration: These agents generate responses that are based on outputs from the previous layer’s agents. They repeatedly refine and enhance the last output. Diverse Insights: By integrating different capabilities and insights from various models, MoA achieves a more powerful combined model that is secure against diverse risks. Performance Boost: MoA outperforms standalone LLMs by a wide margin. For instance, it set a new benchmark with 65.1% on AlpacaEval 2.0 as against GPT-4 Omni at 57.5%, using only open-source models. In short, if we combine language modelers’ strengths then it results in increased efficiency and versatility. Here is a nice implementation of MOA by Together AI Github source: https://lnkd.in/dMCVRS3D #AI #LLM #LargeLanguageModels #MachineLearning
59
3 Comments -
Bilal Zuberi
There are two interesting and relatively new/emerging revenue models in hardware space. (1) Software Enabled Hardware Hardware is sold at lower but slowly improving gross margins (eg 20-40%), and software recurring revenues layered on top. Software sells at higher margins, enabling blended margins to appear in 50%+ category. These are applied in situations where hardware is not expected to be replaced or greatly improved upon in deployment for a significant number of years to come. Consider your car, or military equipment, or even infrastructure equipment. As always, there are often multiple business/revenue models utilized by different players in the same industry. (2) Hardware As A Service Hardware and software are bundled and sold with annually recurring revenues. Often multi-year contracts are signed to be able to amortize hardware over time, and enable blended gross margins over the length of the contract to be high (approaching 60-75%). This is more common in situations where vendor takes responsibility to upgrade hardware as needed along the way to provide maximum and highest functionality to the customer. Hardware inventory costs are, over time, passed on to suppliers or third party financing parties in lieu of few gross margin points. Consider robots as a service in factories (ala Formic), or AI-enabled equipment (eg Evolv, Lumafield etc). Hardware innovation will require deeper investigation, experimentation, and understanding of business/revenue models to fit customer needs as well as to maximize value for the innovating company. Strong and experienced management teams work hard to minimize sales friction, inventory costs etc, but also maximize gross margins, customer stickiness, and ability to upsell during the life of a contract.
337
37 Comments -
Bharat Khatri
Anthropic just released its new multimodal AI model: Claude 3.5 Sonnet. The benchmarks sure need a refresh as AI models keep improving at breakneck speed. But more importantly, each benchmark represents a real-world application, so it's crucial to steer clear of thin wrappers over any benchmarked capability. #claude #anthropic #chatgpt #gpt #openai
5
1 Comment -
Ashe Magalhaes
On Agent Dev & The Case for The Engineer’s Creative Process Agent development pulls engineers closer to the headspace of artist - and my bet is if engineers embrace and protect their creative processes, we unlock the next level of innovation in this agentic era. In machine learning, the saying goes, "it is more art than science." Building agents is a non-deterministic process that adds significant variance into systems. Engineers would be well-served to hone their creative process. The best engineers will become artists. 1. Building isn’t linear. Building agent infrastructure is far from linear. Engineers often experience a cycle of frustration and eventual breakthroughs. While not perfect, these reasoning systems are now stable enough for integration into our tools and lives. The history of AI, from machine learning to deep learning, has always involved non-linear development. Today's agent infrastructure development is even less linear, requiring engineers to understand complex semantic translations and carefully manage user rollouts to avoid failures. 2. Building with a relationship to the work. With new forms of intelligence come new relationships. Engineers must navigate a relationship to work that involves agent memory and understanding. What is it to build a system that knows you? When people feel understood, they feel loved. What is it to love the systems we’re creating? How does a creative process help? A non-linear process and a relationship to the work are the territories of the artist. Engineers, trained towards control, must embrace uncertainty, risk embarrassment, and accept that their efforts might yield unexpected results. We’re glimpsing a creator's role in a system that understands. While engineers have largely operated in a logical space, they are now called to form a heart connection with the systems they build. A creative process helps artists endure challenges and breathe life into their work. It involves a commitment to creating, discipline, and accepting that one can only control the process, not the outcome. Agent development pulls engineers closer to the mindset of artists. If engineers embrace and protect their creative processes, we can unlock the next level of innovation in society. Read more on this on my Twitter: https://x.com/ashebytes
15
2 Comments -
Jeremy Utley
Where should you get started with GenAI? Russ Somers’ insights have really stuck with me. His credibility implementing AI is unquestionable — he’s tripled his department’s effectiveness through cleverly deploying a “GPTeam” of collaborators is quite an accomplishment, for sure. (Link to podcast below) But what really struck me most were his insights on the personal aspects of getting started. I’ve argued for the importance of using AI for oneself, but Russ shed fresh light on the question of where to start. Rather than diving straight into work applications, Russ emphasized the importance of play, discovery, and starting from a place of personal intrigue. This approach is often overlooked, to the detriment of the explorer, and the organization. Many organizations are asking their people, “What can GenAI do for our business?” This is the wrong question! Not because GenAI is irrelevant to the business, but because most employees don’t even know what GenAI can do, period. The necessary first step is to open their minds to the power of the technology, in a way that sparks their imaginations. One of Russ's key insights was the importance of avoiding complacency in building confidence in the power of these tools. If a suboptimal outcome is acceptable for your chosen point of focus, it shouldn’t be a candidate for GPT-powered exploration. True innovation demands iteration and refinement borne of a restless longing for more. With routine work, it’s sometimes easy to get comfortable and settle into the groove, but that’s not where significant gains will be made. Because innovation is accompanied by many false starts and frustrating dead ends, I’ve often told teams this sense of mattering is the essential prerequisite to undertaking a new project — if you don’t care, don’t bother. For whatever reason — unless you’re in a start-up environment with tightly aligned incentives — folks tend to demand more excellence from solutions to personal concerns than to work-imposed ones. To discover the value of GenAI, start personal. Having observed countless professionals attempt to incorporate this technology into their lives, I can tell you that your biggest barrier is likely going to be summoning your own activation energy. You’ve got to find a project where you’ll be willing to push beyond mediocre outcomes. Starting with a personal project is an exceptional hack to invoke care.
24
8 Comments -
Erik Benson
16 years ago Voyager Capital co-invested with NVIDIA in Portland-based AWS Elemental, an Amazon Web Services Company using GPUs to dominate software-defined video processing. Voyager Capital has again co-invested with NVIDIA’s venture arm NVentures in backing Seattle-based Carbon Robotics leading the AI revolution in agriculture! #agAI #sustainable #regenerative
193
5 Comments -
Chinar Movsisyan
💡 Why do we need so many evaluation tools for LLMs? As engineers, we build 'production-ready' LLM products using these metrics. But what happens next? How do we maintain control and ensure reliability? At Feedback Intelligence, we’ve crafted a cookbook to keep your LLMs reliable and aligned with user expectations. 🍲 📖 Give it a read and let’s chat!
16
-
Gururaj Pandurangi
#Thrivecast ep35: Peter Walker from Carta shares amazing insights on Startups reacting to the increased time between venture rounds. We had in-depth discussions on various strategies startups are employing, including - roles are they hiring/firing - cost reduction strategies - return of bridge funds as a stop gap arrangement - Are they trying to make their products better? or is it sell sell sell at all costs? and more… https://lnkd.in/g87rXV-z Listen to the full episode here https://lnkd.in/gqrsazuc #PLG #B2BSaaS #Startups
11
4 Comments -
Anji Ismail
💥 Finnt is now publicly available! 🌎 Building an AI-native software is a whole new beast - actually that’s why there’s so many great demos but so few amazing experiences in production. The nature of Generative AI makes it difficult to reproduce identical, deterministic outcomes. Where a traditional feature would have two statuses “functional” vs. “bugged”; in the GenAI world, a slightly different prompt or setup can drastically change the output. But this is also what makes AI so powerful and why we are so excited to be building in this space. 🧠 As a reminder, Finnt specializes in extracting crucial data from large, unstructured, and complex documents — including OMs, PPMs, 10-Q/10-K, as well as prospectuses, reports, leases, loans, etc. It then integrates these findings into AI-generated and templated memos, enriching them with real-time market data. 🔑 Key facts: - Ingest any large, complex, and unstructured files - Design custom frameworks tailored towards your specific use cases - Select your preferred LLMs, from closed to open-source options - Customize the goals, structures, and formats of your output reports - Augment your reports with third-party sources and live market data - Ask anything to your files and transform responses into insights - Seamlessly integrate Finnt into your existing workflows 👉 Check the comments to get the link to signup. PS: you might need to get a custom onboarding but we are nice people 😅
179
47 Comments -
Michael E. Webber
Hot off the presses! A new paper with Nick Laws and Maggie Chen -- "Valuing Distributed Energy Resources for Non-Wires Alternatives" Main takeaway: Distributed energy resources (DER) such as batteries -- regardless of whether it's the utility or homeowner who owns the system -- can reduce system operating costs and delay system upgrades for distribution systems. For example, using DER might help reduce how often local transformers might need to be upgraded. "We show that when valuing DER the operating costs over 20 years can be reduced by over 40%." Let's deploy some batteries, y'all! #batteries #futureofenergy #distributedenergyresources #DER Walker Department of Mechanical Engineering, The University of Texas at Austin Webber Energy Group
80
11 Comments -
Guido Appenzeller
A bill pending in the California Senate that would essentially make many start-ups, open source projects as well as some research illegal in California and force it to move to other states. We need to stop this nonsense. Usually I don't post about politics as issues are often nuanced, complex and hard to fully address in a short post. This is an exception. The bill has zero benefit for anyone, except maybe very large tech companies that can use it to crush stat-ups. And it doesn't mitigate any potential downside of AI. However it would kill many open source efforts. It would stop some research. And it would force start-ups to do their model development in other states (or other countries). If you can, please support the effort to stop this. https://stopsb1047.com/
51
5 Comments -
Ajay S.
The implementation of SB 1047 can feel like navigating the wild west due to its ambiguous nature. The law introduces complex reporting obligations for developers who fine-tune models or create models with training costs exceeding $100 million. This approach could be likened to using a bazooka to kill an ant. It suggests that lawmakers might not fully grasp the complexities and detailed processes involved in AI development, highlighting a need for increased awareness and understanding. #llm #ai #microsoft #openai
-
Rakesh Kothari
Thanks Joanne Chen and Jaya G. from Foundation Capital for the nod! Great to be in the cohort of top notch AI companies. Observability data is untapped goldmine of information, but when the time comes (in the middle of incident), it still requires "expert" skills to find the needle in the haystack. We at Deductive AI are democratizing the expertise to everyone in the organization.
34
4 Comments -
Jasper Kuria
Incisive analysis by Sequoia partner David Cahn on the missing $600 billion in AI revenue... Basically, given what companies are spending on Nvidia's chips and infrastructure build out, a certain amount of resulting revenue is implied. There is a $600 Billion gap. This week's The Economist arrived at a similar conclusion. The ROI will likely be realized after 2032! Links below. #ai #chatgpt #nvidia #venturecapital #startups
8
1 Comment -
Revital Alcalay
𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗶𝗻 𝗮𝗰𝘁𝗶𝗼𝗻: 𝗧𝗵𝗲 𝗪𝗶𝘇𝘇 𝗖𝗘𝗢'𝘀 𝗕𝗼𝗹𝗱 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻. CEO Assaf Rappaport and Wizz founders gave up $23 billion in favor of the challenging option of developing the company in preparation for a giant IPO. Leadership is often defined by the choices we make in the face of opportunity. Recently, the CEO of Wizz demonstrated exceptional leadership by declining an enticing offer from Google. This decision wasn't about rejecting growth or innovation but about staying true to the company's vision and values. At ALPHA Marketing, we believe that true leadership is about understanding your unique value proposition and making decisions that align with your long-term goals, even when faced with lucrative opportunities. The Wizz CEO's choice underscores the importance of strategic focus and the courage to stand firm in one's convictions. In a world where quick wins can often overshadow sustainable growth, let's celebrate leaders who prioritize vision, integrity, and the enduring success of their organizations. #Leadership #StrategicDecisions #BusinessGrowth #TechMarketing #MarTech #startup #venturecapital
3
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore More