Benjamin Wallsten

@sog_on_bird_app @memdotai mem it

@LinusEkenstam @LMStudioAI @memdotai mem it

Tutorial Time: Run any open-source LLM locally. Now we will run an LLM on your M1/2 Mac. And its fast. All you need is @LMStudioAI let's get started. Good to be back. A thread

@langchain @memdotai mem it

🦜🏗️LangChain Templates Today we're excited to announce the release of ✨LangChain Templates✨ - a collection of easily deployable reference architectures for a wide variety of tasks This is a new way to 🖌️create, 🤝share, ⏬download, and 💱customize chains and agents ❓How does it work? Will do some highlights below, but full blog here: blog.langchain.dev/langserve-hub/ Explore the templates here: github.com/langchain-ai/l… We've worked with partners to add over 40 different templates, covering a large surface area from advanced RAG, agents, extraction, OSS models, and more 🚀With the LangChain CLI you can easily start a LangChain app, and then easily download a template (containing a chain or agent). You can then easily deploy that chain or agent with 🦜🏓LangServe - getting production ready endpoints and a playground out of the box This all seamlessly integrates with LangSmith🦜🛠️ By having these as templates - not part of the core LangChain package - this provides several benefits: 🔎More easy to see what exactly is in the chain or agent (including prompts) 👩‍🍳More easy to modify the chain or agents (no longer needing to modify source code) ➕Most excitingly - easier for the community to add more chains and agents without bloating the core LangChain package! This means we can add many more OSS specific chains and agents, as well some aimed at specific tools Big thank you to all our partners for adding templates! We are incredibly excited to see what ones the community comes up with 🔥 And if you're looking for an easy way to deploy templates with LangServe - we will be launching a 🦜🛖Hosted LangServe offering - sign up here: airtable.com/app0hN6sd93QcK…

@hwchase17 @memdotai it

🤖Agents from scratch We've rewritten all our 8 agent types using LangChain Expression LangChain and prompts from the Hub This makes them more modular, understandable, and therefor more customizable This customizability is crucial for teams looking to go to production Long 🧵

@OwainEvans_UK @memdotai it

Does a language model trained on “A is B” generalize to “B is A”? E.g. When trained only on “George Washington was the first US president”, can models automatically answer “Who was the first US president?” Our new paper shows they cannot!

@hwchase17 👀

@hwchase17 @bllchmbrs @memdotai mem it

⏫Chat-Your-Data Update Our starter repo for creating a chatbot over your data has got an update! Big thanks to @bllchmbrs for updating it (new chains, new LLMs) The space moves fast, is great to have community members like Bill keeping us up-to-date! github.com/hwchase17/chat…

@mortenjust @memdotai mem it

hey gpt4, make me an iPhone app that recommends 5 new movies every day + trailers + where to watch. My ambitions grew as we went along 👇

@mortenjust @memdotai mem it

I asked GPT-4 to build me a complete app from scratch - and now it's on the store. Link in 👇

@_akhaliq @memdotai mem it

LLM-Rec: Personalized Recommendation via Prompting Large Language Models paper page: huggingface.co/papers/2307.15… investigate various prompting strategies for enhancing personalized content recommendation performance with large language models (LLMs) through input augmentation. Our proposed approach, termed LLM-Rec, encompasses four distinct prompting strategies: (1) basic prompting, (2) recommendation-driven prompting, (3) engagement-guided prompting, and (4) recommendation-driven + engagement-guided prompting. Our empirical experiments show that combining the original content description with the augmented input text generated by LLM using these prompting strategies leads to improved recommendation performance. This finding highlights the importance of incorporating diverse prompts and input augmentation techniques to enhance the recommendation capabilities with large language models for personalized content recommendation.

It’s fun posting links to Threads in Twitter even if they’re “blocked” in search… such a strange, fear-based decision for Twitter to pursue. Seems like a great opportunity to rethink engagement and cross-linking to boost Twitter even if it’s a competitor #growth

Don’t underestimate Meta’s ad juggernaut. Threads is attracting advertisers who abandoned Twitter for brand safety and real people to advert... threads.net/t/CujmALauebl/…

In a remarkable twist of fate, a group of divers recently stumbled upon an extraordinary archeological discovery hidden beneath the serene waters of Lake Lucerne in Switzerland. The accidental unearthing of a 3,000-year-old sunken village has sent shockwaves through the historical community and has provided a profound insight into the region's ancient past. Diving deep into the depths of Lake Lucerne, archeologists found themselves immersed in a world frozen in time. Beneath a thick layer of sediment and mud, they unearthed remnants of a bygone era. Shards of pottery, reminiscent of an intricate civilization, painted a vivid picture of a flourishing society that once thrived in this picturesque region. At the heart of this submerged village lay the remains of wooden pilings, a poignant reminder of the homes that once stood tall upon them. These wooden structures, now preserved by the lake's protective embrace, served as the foundations for houses that were inhabited over three millennia ago. It is believed that these dwellings were constructed during the Bronze Age, a period that spanned from around 3300 to 1200 BCE. The discovery of this sunken village has rewritten the history of Lake Lucerne and its surroundings. Until now, it was widely believed that the region was sparsely populated during ancient times, with little evidence of significant settlements. However, the find demonstrates that a vibrant community existed here long before modern civilization took root. This revelation has opened up a wealth of questions for historians and archeologists alike. Who were the people that once called this submerged village their home? What was their way of life? What led to the eventual submergence of the settlement? These inquiries may offer valuable insights into the societal dynamics and environmental changes that shaped the region during the Bronze Age. The implications of this discovery extend far beyond the confines of Lake Lucerne. It adds another puzzle piece to the larger tapestry of human history, offering a glimpse into the lives of our ancient ancestors. The artifacts recovered from the sunken village provide a tangible link to the past, allowing us to gain a deeper understanding of our shared heritage. The underwater archeologists responsible for this remarkable find are working meticulously to piece together the fragments of the past. They carefully document and analyze each artifact, employing cutting-edge techniques to ensure their preservation and to extract every morsel of information they hold. The diligent efforts of these experts will help unravel the mysteries of the submerged village and shed light on a previously unknown chapter of human civilization. As news of the discovery spreads, researchers and historians from around the world are eagerly awaiting the revelations that will emerge from this extraordinary find. The submerged village in Lake Lucerne stands as a testament to the resilience of the human spirit and the inherent curiosity that drives us to uncover our past. With every dive into the depths of Lake Lucerne, the secrets of this sunken village are slowly coming to the surface. As the story of this ancient community unfolds, it serves as a reminder that there are still hidden wonders waiting to be unearthed, even in the most unexpected places. The accidental discovery of this 3,000-year-old sunken village in Switzerland ignites our imagination and fuels our relentless pursuit of knowledge, inviting us to delve further into the annals of history and explore the vast depths of human civilization.

It’s all about the storytelling. Video is just a better medium for helping people engage with new ideas, especially those so intimately tied... threads.net/t/CuhlJlQOLGi/…

@businessbarista Very cool! Definitely going to be a life changing experience — totally unfamiliar and full of possibilities to just try living and being open to whatever comes your way

Headed to Rwanda (Kigali & Volcanoes National Park) & Kenya (Nairobi & Masai Mara) for honeymoon. Anything we should do, bring, or know to make it a special experience?

When was the last time you had an actual day without any agenda, not even a morning routine or your typical coffee run — no plans and nothing but serendipity and going with the flow?

Stillness is such an under-appreciated state of being in our constantly connected and notified lives. Take a moment to just be and enjoy

This is not a fair fight: Twitter vs Threads, Musk vs Zuckerberg — it’s a cage match playing out in social media with an order of magnitude ... threads.net/t/CuVtBF3O12M/… #threadsapp #twitter

People don’t care about the technology that makes the thing happen. People care about the thing being done as expected. How it’s done is irrelevant so long as it’s done well.

The future of AI and product development is all about use cases and superficially simple applications that take basic needs and offer solutions that don’t even need to mention that it’s AI-powered, -enabled, -augmented, -boosted, etc etc. People don’t care. #ai #productdesign