Many companies increasingly realize #Excel and no-code tools are an #analytics dead end. What #CDOs and #CDAOs may not see is that their best data scientists could already work for them. @Forbes has a good piece explaining @DominoDataLab
's approach. https://
forbes.com/sites/adrianbr
idgwater/2023/02/17/the-last-domino-low-code-data-science-falls-in-line/?sh=4f67c53e10dc
…
INNOVATION
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Excel and no-code tools reach analytics limits for enterprises
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Criticism of Development Approach Compared to Open-Source Models
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This is clearly a step back. Others like @EMostaque (StabilityAI) have a good model for open-source development.
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DataRobot Unveils Major AI Platform Product Launch
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DataRobot has some big product news. You won’t want to miss one of the most exciting product launches in our history! Learn how you can drive business value with the new and exciting capabilities in the DataRobot AI Platform. Register https://
bit.ly/3KeMdU3 -
Community Contributions and Open Source Engagement Welcomed
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Again, we're really excited to see how this develops! We are extremely open to contributions and suggestions – please open PRs, file issues, DM us, or get in touch on the discord:
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MRKL agents and Hub loading in LangChain
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Agents MRKL: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/load_from_hub
… Load from Hub: https://
hwchase17.github.io/langchainjs/do
cs/modules/agents/load_from_hub
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LangChain Chains: LLM, Vector DB QA, Conversation Guide
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Chains (just a selection) LLM Chain: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/llm_chain
… Vector DB QA: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/vector_db_qa
… Conversation Chain: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/conversation_chain
… Load from Hub: https://
hwchase17.github.io/langchainjs/do
cs/modules/chains/load_from_hub
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LangChain JS Indexes: Text Splitter, Embeddings, Vectorstores
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Indexes Text Splitter: https://
hwchase17.github.io/langchainjs/do
cs/modules/indexes/text_splitter
… Embeddings: https://
hwchase17.github.io/langchainjs/do
cs/modules/indexes/embeddings
… Vectorstores: https://
hwchase17.github.io/langchainjs/do
cs/modules/indexes/vectorstore
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Cross-language AI abstractions with shared serializable formats
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Relationship to Python Package We built the same abstractions (prompts, LLMs, etc) we had in Python In particular, we built them in a way where they share the same serializable format This means you can load the same prompt, chain, agent in both languages
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LLM abstractions now natively available in JavaScript
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HighLights All the same abstractions (prompts, LLMs, textsplitters, embeddings, vectorstores, chains, agents, memory) are now natively available in js There is a common serializable format for cross-language sharing This was only doable with community support
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LangChain JavaScript TypeScript Support Launch
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It's finally here… Javascript/TypeScript support for LangChain BIG thank you to everyone in the community who contributed to this, especially @_seanyneutron and @nfcampos GitHub: https://
github.com/hwchase17/lang
chainjs
…
Blog: https://
blog.langchain.dev/typescript-sup
port/
… LOTS to discuss, lets