Introducing Code Llama, a state-of-the-art large language model for coding

Today, we are releasing Code Llama, a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. — Read More

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#devops

LLMStack

LLMStack is a no-code platform for building generative AI applications, chatbots, agents and connecting them to your data and business processes.

Build tailor-made generative AI applications, chatbots and agents that cater to your unique needs by chaining multiple LLMs. Seamlessly integrate your own data and GPT-powered models without any coding experience using LLMStack’s no-code builder. Trigger your AI chains from Slack or Discord. Deploy to the cloud or on-premise. — Read More

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AI2 drops biggest open dataset yet for training language models

Language models like GPT-4 and Claude are powerful and useful, but the data on which they are trained is a closely guarded secret. The Allen Institute for AI (AI2) aims to reverse this trend with a new, huge text dataset that’s free to use and open to inspection.

Dolma, as the dataset is called, is intended to be the basis for the research group’s planned open language model, or OLMo (Dolma is short for “Data to feed OLMo’s Appetite). As the model is intended to be free to use and modify by the AI research community, so too (argue AI2 researchers) should be the dataset they use to create it. — Read More

#training, #devops

Meta’s Next Big Open Source AI Dump Will Reportedly Be a Code-Generating Bot

Meta’s language-centric LlaMA AI will soon find itself in the company of a nerdier, coding wiz brother. The company’s next AI release will reportedly be a big coding machine meant to compete against the proprietary software from the likes of OpenAI and Google. The model could see a release as soon as next week.

According to The Information who spoke to two anonymous sources with direct knowledge of the AI, this new model dubbed “Code Llama” will be open source and available free online. This is consistent with the company’s strategy so far of releasing widely available AI software that makes developing new customizable AI models much easier for companies who don’t want to pay OpenAI or others for the privilege. — Read More

#devops

Doctor GPT

DoctorGPT is a Large Language Model that can pass the US Medical Licensing Exam. This is an open-source project with a mission to provide everyone their own private doctor. DoctorGPT is a version of Meta’s Llama2 7 billion parameter Large Language Model that was fine-tuned on a Medical Dialogue Dataset, then further improved using Reinforcement Learning & Constitutional AI. Since the model is only 3 Gigabytes in size, it fits on any local device, so there is no need to pay an API to use it. It’s free, made for offline usage which preserves patient confidentiality, and it’s available on iOS, Android, and Web. Pull requests for feature additions and improvements are encouraged. — Read More

#chatbots, #devops

IBM and NASA teamed up to build the GPT of Earth sciences

NASA estimates that its Earth science missions will generate around a quarter million terabytes of data in 2024 alone. In order for climate scientists and the research community efficiently dig through these reams of raw satellite data, IBM, HuggingFace and NASA have collaborated to build an open-source geospatial foundation model that will serve as the basis for a new class of climate and Earth science AIs that can track deforestation, predict crop yields and rack greenhouse gas emissions. — Read More

#devops

What Comes After SaaS?

Operating a SaaS app is like running a one-room hotel that has unlimited occupancy. It’s as if you’ve figured out how to rent the same hotel room to many guests at a time through some weird tricks of quantum superposition. It is the greatest business in the world.

Customers pay for your hotel room by the month. Each one gets the same basic setup: bed, desk, and Wi-Fi that never works when you need it. When you make changes to the core room, all guests get the new version. But they can also request customizations personal to them, like a wake-up call—5 am for the gym rats, 1 pm for the barflies. Guests tend to stay for months or years at a time, paying for the same room as everyone else. 

It is an absolute license to print money.  — Read More

#devops, #strategy

BIFROST: Use AI to turn your Figma designs into clean React code — automatically.

Introducing the Bifrost Summer Beta — three months of free access to the first design to code product that actually works!

Get started at https://bifrost.so now! — Read More

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The new open-source AI full-stack platform challenging OpenAI (and supporting LLaMA 2)

Yesterday’s release of Meta’s LLaMA 2, under a commercial license, was undoubtedly an open-source AI mic drop. But startup Together, known for creating the RedPajama dataset in April, which replicated the LLaMA dataset, had its own big news over the past couple of days: It has released a new full-stack platform and cloud service for developers at startups and enterprises to build open-source AI — which, in turn, serves as a challenge to OpenAI when it comes to targeting developers.

The company, which already supports more than 50 of the top open-source AI models, will also support LLaMA 2. — Read More

#devops

Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications

LangChain exists to make it as easy as possible to develop LLM-powered applications.

… Today, we’re introducing LangSmith, a platform to help developers close the gap between prototype and production. It’s designed for building and iterating on products that can harness the power–and wrangle the complexity–of LLMs.

LangSmith is now in closed beta. So if you’re looking for a robust, unified, system for debugging, testing, evaluating, and monitoring your LLM applications, sign up here. — Read More

#chatbots, #devops